Inferring causal trajectories from spatial transcriptomics using CASCAT Article Swipe
Yingying Yu
,
Wan Nie
,
Qianqian Zhang
,
Shuai Cheng Li
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1093/nar/gkaf791
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1093/nar/gkaf791
Spatial trajectory inference models cell differentiation and state dynamics within tissues by integrating spatial information. Existing spatial trajectory inference methods depend on similarity-based cell graphs constructed from spatial proximity, with less attention to the Markovian property in cell state transitions. In this study, we introduce CASCAT, a tree-shaped structural causal model with the Markovian property integrated to infer a unique cell differentiation trajectory, addressing challenges posed by Markov equivalence in high-dimensional and nonlinear data. CASCAT outperforms six state-of-the-art single-cell RNA sequencing (scRNA-seq)-oriented methods across 10 simulated and seven real scRNA-seq datasets and exceeds three leading spatial trajectory inference methods on 13 real spatial transcriptomics datasets from multiple platforms. In the mouse inner olfactory bulb, CASCAT accurately differentiates maturation trajectories among specific cell types and reveals the Wnt signaling pathway by removing conditionally independent connections. Furthermore, by modeling post-treatment cancer cell trajectories through in silico simulations, CASCAT predicts drug responses in oral squamous cell carcinoma with a 6.8% increase in precision compared to RNA velocity-based methods, contributing to advances in computer-assisted drug discovery.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/nar/gkaf791
- https://academic.oup.com/nar/article-pdf/53/15/gkaf791/64082340/gkaf791.pdf
- OA Status
- gold
- References
- 91
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413308128
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4413308128Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/nar/gkaf791Digital Object Identifier
- Title
-
Inferring causal trajectories from spatial transcriptomics using CASCATWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-08-11Full publication date if available
- Authors
-
Yingying Yu, Wan Nie, Qianqian Zhang, Shuai Cheng LiList of authors in order
- Landing page
-
https://doi.org/10.1093/nar/gkaf791Publisher landing page
- PDF URL
-
https://academic.oup.com/nar/article-pdf/53/15/gkaf791/64082340/gkaf791.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/nar/article-pdf/53/15/gkaf791/64082340/gkaf791.pdfDirect OA link when available
- Concepts
-
Inference, Biology, Trajectory, Markov chain, In silico, Computational biology, Spatial analysis, Transcriptome, Markov process, Computer science, Artificial intelligence, Machine learning, Mathematics, Genetics, Gene, Statistics, Gene expression, Astronomy, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
91Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4413308128 |
|---|---|
| doi | https://doi.org/10.1093/nar/gkaf791 |
| ids.doi | https://doi.org/10.1093/nar/gkaf791 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/40829806 |
| ids.openalex | https://openalex.org/W4413308128 |
| fwci | 0.0 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D000818 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Animals |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D051379 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Mice |
| mesh[2].qualifier_ui | Q000379 |
| mesh[2].descriptor_ui | D059010 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | methods |
| mesh[2].descriptor_name | Single-Cell Analysis |
| mesh[3].qualifier_ui | Q000235 |
| mesh[3].descriptor_ui | D059467 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | genetics |
| mesh[3].descriptor_name | Transcriptome |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D006801 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Humans |
| mesh[5].qualifier_ui | Q000379 |
| mesh[5].descriptor_ui | D020869 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | methods |
| mesh[5].descriptor_name | Gene Expression Profiling |
| mesh[6].qualifier_ui | Q000235 |
| mesh[6].descriptor_ui | D060449 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | genetics |
| mesh[6].descriptor_name | Wnt Signaling Pathway |
| mesh[7].qualifier_ui | Q000235 |
| mesh[7].descriptor_ui | D002454 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | genetics |
| mesh[7].descriptor_name | Cell Differentiation |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D008390 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Markov Chains |
| mesh[9].qualifier_ui | Q000378 |
| mesh[9].descriptor_ui | D009830 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | metabolism |
| mesh[9].descriptor_name | Olfactory Bulb |
| mesh[10].qualifier_ui | Q000166 |
| mesh[10].descriptor_ui | D009830 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | cytology |
| mesh[10].descriptor_name | Olfactory Bulb |
| mesh[11].qualifier_ui | Q000379 |
| mesh[11].descriptor_ui | D017423 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | methods |
| mesh[11].descriptor_name | Sequence Analysis, RNA |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D000465 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Algorithms |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D012984 |
| mesh[13].is_major_topic | True |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Software |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D003198 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Computer Simulation |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D000818 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Animals |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D051379 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Mice |
| mesh[17].qualifier_ui | Q000379 |
| mesh[17].descriptor_ui | D059010 |
| mesh[17].is_major_topic | True |
| mesh[17].qualifier_name | methods |
| mesh[17].descriptor_name | Single-Cell Analysis |
| mesh[18].qualifier_ui | Q000235 |
| mesh[18].descriptor_ui | D059467 |
| mesh[18].is_major_topic | True |
| mesh[18].qualifier_name | genetics |
| mesh[18].descriptor_name | Transcriptome |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D006801 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Humans |
| mesh[20].qualifier_ui | Q000379 |
| mesh[20].descriptor_ui | D020869 |
| mesh[20].is_major_topic | True |
| mesh[20].qualifier_name | methods |
| mesh[20].descriptor_name | Gene Expression Profiling |
| mesh[21].qualifier_ui | Q000235 |
| mesh[21].descriptor_ui | D060449 |
| mesh[21].is_major_topic | False |
| mesh[21].qualifier_name | genetics |
| mesh[21].descriptor_name | Wnt Signaling Pathway |
| mesh[22].qualifier_ui | Q000235 |
| mesh[22].descriptor_ui | D002454 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | genetics |
| mesh[22].descriptor_name | Cell Differentiation |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D008390 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Markov Chains |
| mesh[24].qualifier_ui | Q000378 |
| mesh[24].descriptor_ui | D009830 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | metabolism |
| mesh[24].descriptor_name | Olfactory Bulb |
| mesh[25].qualifier_ui | Q000166 |
| mesh[25].descriptor_ui | D009830 |
| mesh[25].is_major_topic | False |
| mesh[25].qualifier_name | cytology |
| mesh[25].descriptor_name | Olfactory Bulb |
| mesh[26].qualifier_ui | Q000379 |
| mesh[26].descriptor_ui | D017423 |
| mesh[26].is_major_topic | False |
| mesh[26].qualifier_name | methods |
| mesh[26].descriptor_name | Sequence Analysis, RNA |
| mesh[27].qualifier_ui | |
| mesh[27].descriptor_ui | D000465 |
| mesh[27].is_major_topic | False |
| mesh[27].qualifier_name | |
| mesh[27].descriptor_name | Algorithms |
| mesh[28].qualifier_ui | |
| mesh[28].descriptor_ui | D012984 |
| mesh[28].is_major_topic | True |
| mesh[28].qualifier_name | |
| mesh[28].descriptor_name | Software |
| mesh[29].qualifier_ui | |
| mesh[29].descriptor_ui | D003198 |
| mesh[29].is_major_topic | False |
| mesh[29].qualifier_name | |
| mesh[29].descriptor_name | Computer Simulation |
| mesh[30].qualifier_ui | |
| mesh[30].descriptor_ui | D000818 |
| mesh[30].is_major_topic | False |
| mesh[30].qualifier_name | |
| mesh[30].descriptor_name | Animals |
| mesh[31].qualifier_ui | |
| mesh[31].descriptor_ui | D051379 |
| mesh[31].is_major_topic | False |
| mesh[31].qualifier_name | |
| mesh[31].descriptor_name | Mice |
| mesh[32].qualifier_ui | Q000379 |
| mesh[32].descriptor_ui | D059010 |
| mesh[32].is_major_topic | True |
| mesh[32].qualifier_name | methods |
| mesh[32].descriptor_name | Single-Cell Analysis |
| mesh[33].qualifier_ui | Q000235 |
| mesh[33].descriptor_ui | D059467 |
| mesh[33].is_major_topic | True |
| mesh[33].qualifier_name | genetics |
| mesh[33].descriptor_name | Transcriptome |
| mesh[34].qualifier_ui | |
| mesh[34].descriptor_ui | D006801 |
| mesh[34].is_major_topic | False |
| mesh[34].qualifier_name | |
| mesh[34].descriptor_name | Humans |
| mesh[35].qualifier_ui | Q000379 |
| mesh[35].descriptor_ui | D020869 |
| mesh[35].is_major_topic | True |
| mesh[35].qualifier_name | methods |
| mesh[35].descriptor_name | Gene Expression Profiling |
| mesh[36].qualifier_ui | Q000235 |
| mesh[36].descriptor_ui | D060449 |
| mesh[36].is_major_topic | False |
| mesh[36].qualifier_name | genetics |
| mesh[36].descriptor_name | Wnt Signaling Pathway |
| mesh[37].qualifier_ui | Q000235 |
| mesh[37].descriptor_ui | D002454 |
| mesh[37].is_major_topic | False |
| mesh[37].qualifier_name | genetics |
| mesh[37].descriptor_name | Cell Differentiation |
| mesh[38].qualifier_ui | |
| mesh[38].descriptor_ui | D008390 |
| mesh[38].is_major_topic | False |
| mesh[38].qualifier_name | |
| mesh[38].descriptor_name | Markov Chains |
| mesh[39].qualifier_ui | Q000378 |
| mesh[39].descriptor_ui | D009830 |
| mesh[39].is_major_topic | False |
| mesh[39].qualifier_name | metabolism |
| mesh[39].descriptor_name | Olfactory Bulb |
| mesh[40].qualifier_ui | Q000166 |
| mesh[40].descriptor_ui | D009830 |
| mesh[40].is_major_topic | False |
| mesh[40].qualifier_name | cytology |
| mesh[40].descriptor_name | Olfactory Bulb |
| mesh[41].qualifier_ui | Q000379 |
| mesh[41].descriptor_ui | D017423 |
| mesh[41].is_major_topic | False |
| mesh[41].qualifier_name | methods |
| mesh[41].descriptor_name | Sequence Analysis, RNA |
| mesh[42].qualifier_ui | |
| mesh[42].descriptor_ui | D000465 |
| mesh[42].is_major_topic | False |
| mesh[42].qualifier_name | |
| mesh[42].descriptor_name | Algorithms |
| mesh[43].qualifier_ui | |
| mesh[43].descriptor_ui | D012984 |
| mesh[43].is_major_topic | True |
| mesh[43].qualifier_name | |
| mesh[43].descriptor_name | Software |
| mesh[44].qualifier_ui | |
| mesh[44].descriptor_ui | D003198 |
| mesh[44].is_major_topic | False |
| mesh[44].qualifier_name | |
| mesh[44].descriptor_name | Computer Simulation |
| mesh[45].qualifier_ui | |
| mesh[45].descriptor_ui | D000818 |
| mesh[45].is_major_topic | False |
| mesh[45].qualifier_name | |
| mesh[45].descriptor_name | Animals |
| mesh[46].qualifier_ui | |
| mesh[46].descriptor_ui | D051379 |
| mesh[46].is_major_topic | False |
| mesh[46].qualifier_name | |
| mesh[46].descriptor_name | Mice |
| mesh[47].qualifier_ui | Q000379 |
| mesh[47].descriptor_ui | D059010 |
| mesh[47].is_major_topic | True |
| mesh[47].qualifier_name | methods |
| mesh[47].descriptor_name | Single-Cell Analysis |
| mesh[48].qualifier_ui | Q000235 |
| mesh[48].descriptor_ui | D059467 |
| mesh[48].is_major_topic | True |
| mesh[48].qualifier_name | genetics |
| mesh[48].descriptor_name | Transcriptome |
| mesh[49].qualifier_ui | |
| mesh[49].descriptor_ui | D006801 |
| mesh[49].is_major_topic | False |
| mesh[49].qualifier_name | |
| mesh[49].descriptor_name | Humans |
| type | article |
| title | Inferring causal trajectories from spatial transcriptomics using CASCAT |
| biblio.issue | 15 |
| biblio.volume | 53 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11289 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1312 |
| topics[0].subfield.display_name | Molecular Biology |
| topics[0].display_name | Single-cell and spatial transcriptomics |
| topics[1].id | https://openalex.org/T12859 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9347000122070312 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1304 |
| topics[1].subfield.display_name | Biophysics |
| topics[1].display_name | Cell Image Analysis Techniques |
| topics[2].id | https://openalex.org/T10885 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9269000291824341 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Gene expression and cancer classification |
| is_xpac | False |
| apc_list.value | 3630 |
| apc_list.currency | USD |
| apc_list.value_usd | 3630 |
| apc_paid.value | 3630 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 3630 |
| concepts[0].id | https://openalex.org/C2776214188 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6828990578651428 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q408386 |
| concepts[0].display_name | Inference |
| concepts[1].id | https://openalex.org/C86803240 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6482056379318237 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[1].display_name | Biology |
| concepts[2].id | https://openalex.org/C13662910 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5718947649002075 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q193139 |
| concepts[2].display_name | Trajectory |
| concepts[3].id | https://openalex.org/C98763669 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5009965896606445 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q176645 |
| concepts[3].display_name | Markov chain |
| concepts[4].id | https://openalex.org/C2775905019 |
| concepts[4].level | 3 |
| concepts[4].score | 0.4694737195968628 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q192572 |
| concepts[4].display_name | In silico |
| concepts[5].id | https://openalex.org/C70721500 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4603668451309204 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q177005 |
| concepts[5].display_name | Computational biology |
| concepts[6].id | https://openalex.org/C159620131 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4372105002403259 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1938983 |
| concepts[6].display_name | Spatial analysis |
| concepts[7].id | https://openalex.org/C162317418 |
| concepts[7].level | 4 |
| concepts[7].score | 0.42039740085601807 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q252857 |
| concepts[7].display_name | Transcriptome |
| concepts[8].id | https://openalex.org/C159886148 |
| concepts[8].level | 2 |
| concepts[8].score | 0.41588613390922546 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q176645 |
| concepts[8].display_name | Markov process |
| concepts[9].id | https://openalex.org/C41008148 |
| concepts[9].level | 0 |
| concepts[9].score | 0.3975379467010498 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[9].display_name | Computer science |
| concepts[10].id | https://openalex.org/C154945302 |
| concepts[10].level | 1 |
| concepts[10].score | 0.33132296800613403 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[10].display_name | Artificial intelligence |
| concepts[11].id | https://openalex.org/C119857082 |
| concepts[11].level | 1 |
| concepts[11].score | 0.2345367670059204 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[11].display_name | Machine learning |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.1932932436466217 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| concepts[13].id | https://openalex.org/C54355233 |
| concepts[13].level | 1 |
| concepts[13].score | 0.17665687203407288 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7162 |
| concepts[13].display_name | Genetics |
| concepts[14].id | https://openalex.org/C104317684 |
| concepts[14].level | 2 |
| concepts[14].score | 0.16999149322509766 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[14].display_name | Gene |
| concepts[15].id | https://openalex.org/C105795698 |
| concepts[15].level | 1 |
| concepts[15].score | 0.11286148428916931 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[15].display_name | Statistics |
| concepts[16].id | https://openalex.org/C150194340 |
| concepts[16].level | 3 |
| concepts[16].score | 0.10767510533332825 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q26972 |
| concepts[16].display_name | Gene expression |
| concepts[17].id | https://openalex.org/C1276947 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q333 |
| concepts[17].display_name | Astronomy |
| concepts[18].id | https://openalex.org/C121332964 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[18].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/inference |
| keywords[0].score | 0.6828990578651428 |
| keywords[0].display_name | Inference |
| keywords[1].id | https://openalex.org/keywords/biology |
| keywords[1].score | 0.6482056379318237 |
| keywords[1].display_name | Biology |
| keywords[2].id | https://openalex.org/keywords/trajectory |
| keywords[2].score | 0.5718947649002075 |
| keywords[2].display_name | Trajectory |
| keywords[3].id | https://openalex.org/keywords/markov-chain |
| keywords[3].score | 0.5009965896606445 |
| keywords[3].display_name | Markov chain |
| keywords[4].id | https://openalex.org/keywords/in-silico |
| keywords[4].score | 0.4694737195968628 |
| keywords[4].display_name | In silico |
| keywords[5].id | https://openalex.org/keywords/computational-biology |
| keywords[5].score | 0.4603668451309204 |
| keywords[5].display_name | Computational biology |
| keywords[6].id | https://openalex.org/keywords/spatial-analysis |
| keywords[6].score | 0.4372105002403259 |
| keywords[6].display_name | Spatial analysis |
| keywords[7].id | https://openalex.org/keywords/transcriptome |
| keywords[7].score | 0.42039740085601807 |
| keywords[7].display_name | Transcriptome |
| keywords[8].id | https://openalex.org/keywords/markov-process |
| keywords[8].score | 0.41588613390922546 |
| keywords[8].display_name | Markov process |
| keywords[9].id | https://openalex.org/keywords/computer-science |
| keywords[9].score | 0.3975379467010498 |
| keywords[9].display_name | Computer science |
| keywords[10].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[10].score | 0.33132296800613403 |
| keywords[10].display_name | Artificial intelligence |
| keywords[11].id | https://openalex.org/keywords/machine-learning |
| keywords[11].score | 0.2345367670059204 |
| keywords[11].display_name | Machine learning |
| keywords[12].id | https://openalex.org/keywords/mathematics |
| keywords[12].score | 0.1932932436466217 |
| keywords[12].display_name | Mathematics |
| keywords[13].id | https://openalex.org/keywords/genetics |
| keywords[13].score | 0.17665687203407288 |
| keywords[13].display_name | Genetics |
| keywords[14].id | https://openalex.org/keywords/gene |
| keywords[14].score | 0.16999149322509766 |
| keywords[14].display_name | Gene |
| keywords[15].id | https://openalex.org/keywords/statistics |
| keywords[15].score | 0.11286148428916931 |
| keywords[15].display_name | Statistics |
| keywords[16].id | https://openalex.org/keywords/gene-expression |
| keywords[16].score | 0.10767510533332825 |
| keywords[16].display_name | Gene expression |
| language | en |
| locations[0].id | doi:10.1093/nar/gkaf791 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S134668137 |
| locations[0].source.issn | 0305-1048, 1362-4954, 1362-4962 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 0305-1048 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Nucleic Acids Research |
| locations[0].source.host_organization | https://openalex.org/P4310311648 |
| locations[0].source.host_organization_name | Oxford University Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| locations[0].source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| locations[0].license | cc-by-nc |
| locations[0].pdf_url | https://academic.oup.com/nar/article-pdf/53/15/gkaf791/64082340/gkaf791.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Nucleic Acids Research |
| locations[0].landing_page_url | https://doi.org/10.1093/nar/gkaf791 |
| locations[1].id | pmid:40829806 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Nucleic acids research |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/40829806 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:12362255 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | other-oa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Nucleic Acids Res |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/12362255 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5101748302 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9452-0298 |
| authorships[0].author.display_name | Yingying Yu |
| authorships[0].countries | CN, HK |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I168719708, https://openalex.org/I4210105229 |
| authorships[0].affiliations[0].raw_affiliation_string | City University of Hong Kong Shenzhen Research Institute, 8 Yue Xing Yi Road, Nanshan District, Shenzhen, 518057, China |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I168719708, https://openalex.org/I4210105229 |
| authorships[0].affiliations[1].raw_affiliation_string | City University of Hong Kong Shenzhen Research Institute , 8 Yue Xing Yi Road, Nanshan District, Shenzhen, 518057, |
| authorships[0].institutions[0].id | https://openalex.org/I4210105229 |
| authorships[0].institutions[0].ror | https://ror.org/00xc0ma20 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210105229 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | City University of Hong Kong, Shenzhen Research Institute |
| authorships[0].institutions[1].id | https://openalex.org/I168719708 |
| authorships[0].institutions[1].ror | https://ror.org/03q8dnn23 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I168719708 |
| authorships[0].institutions[1].country_code | HK |
| authorships[0].institutions[1].display_name | City University of Hong Kong |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yingying Yu |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | City University of Hong Kong Shenzhen Research Institute , 8 Yue Xing Yi Road, Nanshan District, Shenzhen, 518057,, City University of Hong Kong Shenzhen Research Institute, 8 Yue Xing Yi Road, Nanshan District, Shenzhen, 518057, China |
| authorships[1].author.id | https://openalex.org/A5078522162 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0590-6608 |
| authorships[1].author.display_name | Wan Nie |
| authorships[1].countries | HK |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I168719708 |
| authorships[1].affiliations[0].raw_affiliation_string | City University of Hong Kong Department of Computer Science, , 83 Tat Chee Ave, Kowloon Tong , 999077, |
| authorships[1].institutions[0].id | https://openalex.org/I168719708 |
| authorships[1].institutions[0].ror | https://ror.org/03q8dnn23 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I168719708 |
| authorships[1].institutions[0].country_code | HK |
| authorships[1].institutions[0].display_name | City University of Hong Kong |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Wan Nie |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | City University of Hong Kong Department of Computer Science, , 83 Tat Chee Ave, Kowloon Tong , 999077, |
| authorships[2].author.id | https://openalex.org/A5100349116 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1624-036X |
| authorships[2].author.display_name | Qianqian Zhang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I139660479 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Computer Science and Engineering, Central South University, No.932 South Lushan Road, 410083 Changsha, China |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I139660479 |
| authorships[2].affiliations[1].raw_affiliation_string | School of Computer Science and Engineering, Central South University , No.932 South Lushan Road, 410083 Changsha , |
| authorships[2].institutions[0].id | https://openalex.org/I139660479 |
| authorships[2].institutions[0].ror | https://ror.org/00f1zfq44 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I139660479 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Central South University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Qianqian Zhang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Computer Science and Engineering, Central South University , No.932 South Lushan Road, 410083 Changsha ,, School of Computer Science and Engineering, Central South University, No.932 South Lushan Road, 410083 Changsha, China |
| authorships[3].author.id | https://openalex.org/A5083428910 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-6246-6349 |
| authorships[3].author.display_name | Shuai Cheng Li |
| authorships[3].countries | CN, HK |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I168719708, https://openalex.org/I4210105229 |
| authorships[3].affiliations[0].raw_affiliation_string | City University of Hong Kong Shenzhen Research Institute, 8 Yue Xing Yi Road, Nanshan District, Shenzhen, 518057, China |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I168719708, https://openalex.org/I4210105229 |
| authorships[3].affiliations[1].raw_affiliation_string | City University of Hong Kong Shenzhen Research Institute , 8 Yue Xing Yi Road, Nanshan District, Shenzhen, 518057, |
| authorships[3].institutions[0].id | https://openalex.org/I4210105229 |
| authorships[3].institutions[0].ror | https://ror.org/00xc0ma20 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210105229 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | City University of Hong Kong, Shenzhen Research Institute |
| authorships[3].institutions[1].id | https://openalex.org/I168719708 |
| authorships[3].institutions[1].ror | https://ror.org/03q8dnn23 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I168719708 |
| authorships[3].institutions[1].country_code | HK |
| authorships[3].institutions[1].display_name | City University of Hong Kong |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Shuai Cheng Li |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | City University of Hong Kong Shenzhen Research Institute , 8 Yue Xing Yi Road, Nanshan District, Shenzhen, 518057,, City University of Hong Kong Shenzhen Research Institute, 8 Yue Xing Yi Road, Nanshan District, Shenzhen, 518057, China |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://academic.oup.com/nar/article-pdf/53/15/gkaf791/64082340/gkaf791.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Inferring causal trajectories from spatial transcriptomics using CASCAT |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11289 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1312 |
| primary_topic.subfield.display_name | Molecular Biology |
| primary_topic.display_name | Single-cell and spatial transcriptomics |
| related_works | https://openalex.org/W3129816939, https://openalex.org/W2912862995, https://openalex.org/W2985427592, https://openalex.org/W2101501829, https://openalex.org/W2379651310, https://openalex.org/W2113019827, https://openalex.org/W1541249122, https://openalex.org/W2413828414, https://openalex.org/W4236062181, https://openalex.org/W2367222340 |
| cited_by_count | 0 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1093/nar/gkaf791 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S134668137 |
| best_oa_location.source.issn | 0305-1048, 1362-4954, 1362-4962 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 0305-1048 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Nucleic Acids Research |
| best_oa_location.source.host_organization | https://openalex.org/P4310311648 |
| best_oa_location.source.host_organization_name | Oxford University Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| best_oa_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | https://academic.oup.com/nar/article-pdf/53/15/gkaf791/64082340/gkaf791.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Nucleic Acids Research |
| best_oa_location.landing_page_url | https://doi.org/10.1093/nar/gkaf791 |
| primary_location.id | doi:10.1093/nar/gkaf791 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S134668137 |
| primary_location.source.issn | 0305-1048, 1362-4954, 1362-4962 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 0305-1048 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Nucleic Acids Research |
| primary_location.source.host_organization | https://openalex.org/P4310311648 |
| primary_location.source.host_organization_name | Oxford University Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| primary_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| primary_location.license | cc-by-nc |
| primary_location.pdf_url | https://academic.oup.com/nar/article-pdf/53/15/gkaf791/64082340/gkaf791.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Nucleic Acids Research |
| primary_location.landing_page_url | https://doi.org/10.1093/nar/gkaf791 |
| publication_date | 2025-08-11 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W1813068103, https://openalex.org/W1984883254, https://openalex.org/W3041348098, https://openalex.org/W1993287310, https://openalex.org/W2927507212, https://openalex.org/W2950372712, https://openalex.org/W2916020270, https://openalex.org/W3200101063, https://openalex.org/W4220765701, https://openalex.org/W2809368942, https://openalex.org/W3126958162, https://openalex.org/W4388997570, https://openalex.org/W4285388882, https://openalex.org/W4309918428, https://openalex.org/W3108118546, https://openalex.org/W4322738920, https://openalex.org/W4282930876, https://openalex.org/W4205496949, https://openalex.org/W2951799803, https://openalex.org/W2925075625, https://openalex.org/W4399608272, https://openalex.org/W4396916233, https://openalex.org/W3010569643, https://openalex.org/W2757234574, https://openalex.org/W4302423442, https://openalex.org/W4380989965, https://openalex.org/W2111384508, https://openalex.org/W4385987383, https://openalex.org/W3095377337, https://openalex.org/W2949177718, https://openalex.org/W4386935526, https://openalex.org/W3159104720, https://openalex.org/W4385544378, https://openalex.org/W4394764901, https://openalex.org/W4210881488, https://openalex.org/W4243863038, https://openalex.org/W4403249870, https://openalex.org/W2572662684, https://openalex.org/W2516756255, https://openalex.org/W2131681506, https://openalex.org/W2897249806, https://openalex.org/W2150593711, https://openalex.org/W2001141328, https://openalex.org/W2800392236, https://openalex.org/W3174608384, https://openalex.org/W2952877818, https://openalex.org/W4389670555, https://openalex.org/W2811066984, https://openalex.org/W4243110942, https://openalex.org/W2417433140, https://openalex.org/W1985514943, https://openalex.org/W6817898624, https://openalex.org/W4235169531, https://openalex.org/W2113054345, https://openalex.org/W3205213119, https://openalex.org/W3175084293, https://openalex.org/W4294216483, https://openalex.org/W4309944312, https://openalex.org/W4386945111, https://openalex.org/W2070315971, https://openalex.org/W3110621933, https://openalex.org/W6638616972, https://openalex.org/W2180481128, https://openalex.org/W3214280461, https://openalex.org/W1969558225, https://openalex.org/W1486918379, https://openalex.org/W2771542157, https://openalex.org/W2759360483, https://openalex.org/W3107626709, https://openalex.org/W4210575300, https://openalex.org/W2053154970, https://openalex.org/W3047141442, https://openalex.org/W3009992010, https://openalex.org/W2162559145, https://openalex.org/W4408245391, https://openalex.org/W4408113456, https://openalex.org/W3099810371, https://openalex.org/W2139132103, https://openalex.org/W2549811460, https://openalex.org/W4308074414, https://openalex.org/W4399781483, https://openalex.org/W4320709643, https://openalex.org/W4304091700, https://openalex.org/W4404566935, https://openalex.org/W4392168151, https://openalex.org/W1825854172, https://openalex.org/W3106188259, https://openalex.org/W4220671231, https://openalex.org/W3099768174, https://openalex.org/W2914584698, https://openalex.org/W4236206848 |
| referenced_works_count | 91 |
| abstract_inverted_index.a | 47, 59, 156 |
| abstract_inverted_index.10 | 85 |
| abstract_inverted_index.13 | 101 |
| abstract_inverted_index.In | 41, 109 |
| abstract_inverted_index.by | 12, 67, 130, 136 |
| abstract_inverted_index.in | 37, 70, 143, 150, 159, 169 |
| abstract_inverted_index.on | 22, 100 |
| abstract_inverted_index.to | 33, 57, 162, 167 |
| abstract_inverted_index.we | 44 |
| abstract_inverted_index.RNA | 80, 163 |
| abstract_inverted_index.Wnt | 127 |
| abstract_inverted_index.and | 7, 72, 87, 92, 124 |
| abstract_inverted_index.six | 77 |
| abstract_inverted_index.the | 34, 53, 110, 126 |
| abstract_inverted_index.6.8% | 157 |
| abstract_inverted_index.cell | 5, 24, 38, 61, 122, 140, 153 |
| abstract_inverted_index.drug | 148, 171 |
| abstract_inverted_index.from | 27, 106 |
| abstract_inverted_index.less | 31 |
| abstract_inverted_index.oral | 151 |
| abstract_inverted_index.real | 89, 102 |
| abstract_inverted_index.this | 42 |
| abstract_inverted_index.with | 30, 52, 155 |
| abstract_inverted_index.among | 120 |
| abstract_inverted_index.bulb, | 114 |
| abstract_inverted_index.data. | 74 |
| abstract_inverted_index.infer | 58 |
| abstract_inverted_index.inner | 112 |
| abstract_inverted_index.model | 51 |
| abstract_inverted_index.mouse | 111 |
| abstract_inverted_index.posed | 66 |
| abstract_inverted_index.seven | 88 |
| abstract_inverted_index.state | 8, 39 |
| abstract_inverted_index.three | 94 |
| abstract_inverted_index.types | 123 |
| abstract_inverted_index.CASCAT | 75, 115, 146 |
| abstract_inverted_index.Markov | 68 |
| abstract_inverted_index.across | 84 |
| abstract_inverted_index.cancer | 139 |
| abstract_inverted_index.causal | 50 |
| abstract_inverted_index.depend | 21 |
| abstract_inverted_index.graphs | 25 |
| abstract_inverted_index.models | 4 |
| abstract_inverted_index.silico | 144 |
| abstract_inverted_index.study, | 43 |
| abstract_inverted_index.unique | 60 |
| abstract_inverted_index.within | 10 |
| abstract_inverted_index.CASCAT, | 46 |
| abstract_inverted_index.Spatial | 1 |
| abstract_inverted_index.exceeds | 93 |
| abstract_inverted_index.leading | 95 |
| abstract_inverted_index.methods | 20, 83, 99 |
| abstract_inverted_index.pathway | 129 |
| abstract_inverted_index.reveals | 125 |
| abstract_inverted_index.spatial | 14, 17, 28, 96, 103 |
| abstract_inverted_index.through | 142 |
| abstract_inverted_index.tissues | 11 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Existing | 16 |
| abstract_inverted_index.advances | 168 |
| abstract_inverted_index.compared | 161 |
| abstract_inverted_index.datasets | 91, 105 |
| abstract_inverted_index.dynamics | 9 |
| abstract_inverted_index.increase | 158 |
| abstract_inverted_index.methods, | 165 |
| abstract_inverted_index.modeling | 137 |
| abstract_inverted_index.multiple | 107 |
| abstract_inverted_index.predicts | 147 |
| abstract_inverted_index.property | 36, 55 |
| abstract_inverted_index.removing | 131 |
| abstract_inverted_index.specific | 121 |
| abstract_inverted_index.squamous | 152 |
| abstract_inverted_index.Markovian | 35, 54 |
| abstract_inverted_index.attention | 32 |
| abstract_inverted_index.carcinoma | 154 |
| abstract_inverted_index.inference | 3, 19, 98 |
| abstract_inverted_index.introduce | 45 |
| abstract_inverted_index.nonlinear | 73 |
| abstract_inverted_index.olfactory | 113 |
| abstract_inverted_index.precision | 160 |
| abstract_inverted_index.responses | 149 |
| abstract_inverted_index.scRNA-seq | 90 |
| abstract_inverted_index.signaling | 128 |
| abstract_inverted_index.simulated | 86 |
| abstract_inverted_index.accurately | 116 |
| abstract_inverted_index.addressing | 64 |
| abstract_inverted_index.challenges | 65 |
| abstract_inverted_index.discovery. | 172 |
| abstract_inverted_index.integrated | 56 |
| abstract_inverted_index.maturation | 118 |
| abstract_inverted_index.platforms. | 108 |
| abstract_inverted_index.proximity, | 29 |
| abstract_inverted_index.sequencing | 81 |
| abstract_inverted_index.structural | 49 |
| abstract_inverted_index.trajectory | 2, 18, 97 |
| abstract_inverted_index.constructed | 26 |
| abstract_inverted_index.equivalence | 69 |
| abstract_inverted_index.independent | 133 |
| abstract_inverted_index.integrating | 13 |
| abstract_inverted_index.outperforms | 76 |
| abstract_inverted_index.single-cell | 79 |
| abstract_inverted_index.trajectory, | 63 |
| abstract_inverted_index.tree-shaped | 48 |
| abstract_inverted_index.Furthermore, | 135 |
| abstract_inverted_index.connections. | 134 |
| abstract_inverted_index.contributing | 166 |
| abstract_inverted_index.information. | 15 |
| abstract_inverted_index.simulations, | 145 |
| abstract_inverted_index.trajectories | 119, 141 |
| abstract_inverted_index.transitions. | 40 |
| abstract_inverted_index.conditionally | 132 |
| abstract_inverted_index.differentiates | 117 |
| abstract_inverted_index.post-treatment | 138 |
| abstract_inverted_index.velocity-based | 164 |
| abstract_inverted_index.differentiation | 6, 62 |
| abstract_inverted_index.transcriptomics | 104 |
| abstract_inverted_index.high-dimensional | 71 |
| abstract_inverted_index.similarity-based | 23 |
| abstract_inverted_index.state-of-the-art | 78 |
| abstract_inverted_index.computer-assisted | 170 |
| abstract_inverted_index.(scRNA-seq)-oriented | 82 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.33484557 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |