CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy Article Swipe
Bowen Tan
,
Shiying Li
,
Mengbo Wang
,
Shuai Cheng Li
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202503539
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202503539
Advances in single‐cell RNA sequencing (scRNA‐seq) enable detailed analysis of cellular heterogeneity, but existing clustering methods often fail to capture the complex hierarchical structures of cell types and subtypes. CeiTEA is introduced, a novel algorithm for adaptive hierarchical clustering based on topological entropy (TE), designed to address this challenge. CeiTEA constructs a multi‐nary partition tree that optimally represents relationships and diversity among cell types by minimizing TE. This method combines a bottom‐up strategy for hierarchy construction with a top‐down strategy for local diversification, facilitating the identification of smaller hierarchical structures within subtrees. CeiTEA is evaluated on both simulated and real‐world scRNA‐seq datasets, demonstrating superior clustering performance compared to state‐of‐the‐art tools like Louvain, Leiden, K‐means, and SEAT. In simulated multi‐layer datasets, CeiTEA demonstrated superior performance in retrieving hierarchies with a lower average clustering information distance of 0.15, compared to 0.39 from SEAT and 0.67 from traditional hierarchical clustering methods. On real datasets, the CeiTEA hierarchy reflects the developmental potency of various cell populations, validated by gene ontology enrichment, cell‐cell interaction, and pseudo‐time analysis. These findings highlight CeiTEA's potential as a powerful tool for understanding complex relationships in single‐cell data, with applications in tumor heterogeneity and tissue specification.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/advs.202503539
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202503539
- OA Status
- gold
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409530950
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4409530950Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/advs.202503539Digital Object Identifier
- Title
-
CeiTEA: Adaptive Hierarchy of Single Cells with Topological EntropyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-17Full publication date if available
- Authors
-
Bowen Tan, Shiying Li, Mengbo Wang, Shuai Cheng LiList of authors in order
- Landing page
-
https://doi.org/10.1002/advs.202503539Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202503539Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202503539Direct OA link when available
- Concepts
-
Hierarchical clustering, Hierarchy, Cluster analysis, Computer science, Partition (number theory), Entropy (arrow of time), Data mining, Theoretical computer science, Artificial intelligence, Mathematics, Quantum mechanics, Market economy, Economics, Combinatorics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
46Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4409530950 |
|---|---|
| doi | https://doi.org/10.1002/advs.202503539 |
| ids.doi | https://doi.org/10.1002/advs.202503539 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/40245302 |
| ids.openalex | https://openalex.org/W4409530950 |
| fwci | 0.0 |
| mesh[0].qualifier_ui | Q000379 |
| mesh[0].descriptor_ui | D059010 |
| mesh[0].is_major_topic | True |
| mesh[0].qualifier_name | methods |
| mesh[0].descriptor_name | Single-Cell Analysis |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D019277 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Entropy |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D000465 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Algorithms |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D006801 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Humans |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D016000 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Cluster Analysis |
| mesh[5].qualifier_ui | Q000379 |
| mesh[5].descriptor_ui | D017423 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | methods |
| mesh[5].descriptor_name | Sequence Analysis, RNA |
| mesh[6].qualifier_ui | Q000379 |
| mesh[6].descriptor_ui | D019295 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | methods |
| mesh[6].descriptor_name | Computational Biology |
| mesh[7].qualifier_ui | Q000379 |
| mesh[7].descriptor_ui | D059010 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | methods |
| mesh[7].descriptor_name | Single-Cell Analysis |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D019277 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Entropy |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D000465 |
| mesh[9].is_major_topic | True |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Algorithms |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D006801 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Humans |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D016000 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Cluster Analysis |
| mesh[12].qualifier_ui | Q000379 |
| mesh[12].descriptor_ui | D017423 |
| mesh[12].is_major_topic | True |
| mesh[12].qualifier_name | methods |
| mesh[12].descriptor_name | Sequence Analysis, RNA |
| mesh[13].qualifier_ui | Q000379 |
| mesh[13].descriptor_ui | D019295 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | methods |
| mesh[13].descriptor_name | Computational Biology |
| mesh[14].qualifier_ui | Q000379 |
| mesh[14].descriptor_ui | D059010 |
| mesh[14].is_major_topic | True |
| mesh[14].qualifier_name | methods |
| mesh[14].descriptor_name | Single-Cell Analysis |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D019277 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Entropy |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D000465 |
| mesh[16].is_major_topic | True |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Algorithms |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D006801 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Humans |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D016000 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Cluster Analysis |
| mesh[19].qualifier_ui | Q000379 |
| mesh[19].descriptor_ui | D017423 |
| mesh[19].is_major_topic | True |
| mesh[19].qualifier_name | methods |
| mesh[19].descriptor_name | Sequence Analysis, RNA |
| mesh[20].qualifier_ui | Q000379 |
| mesh[20].descriptor_ui | D019295 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | methods |
| mesh[20].descriptor_name | Computational Biology |
| type | article |
| title | CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy |
| biblio.issue | 26 |
| biblio.volume | 12 |
| biblio.last_page | e2503539 |
| biblio.first_page | e2503539 |
| 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 | 0.9715999960899353 |
| 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 | 0.97079998254776 |
| 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 | 5000 |
| apc_list.currency | USD |
| apc_list.value_usd | 5000 |
| apc_paid.value | 5000 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 5000 |
| concepts[0].id | https://openalex.org/C92835128 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7766389846801758 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1277447 |
| concepts[0].display_name | Hierarchical clustering |
| concepts[1].id | https://openalex.org/C31170391 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7165859937667847 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q188619 |
| concepts[1].display_name | Hierarchy |
| concepts[2].id | https://openalex.org/C73555534 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6957106590270996 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q622825 |
| concepts[2].display_name | Cluster analysis |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6847214698791504 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C42812 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5165899991989136 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1082910 |
| concepts[4].display_name | Partition (number theory) |
| concepts[5].id | https://openalex.org/C106301342 |
| concepts[5].level | 2 |
| concepts[5].score | 0.47044840455055237 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q4117933 |
| concepts[5].display_name | Entropy (arrow of time) |
| concepts[6].id | https://openalex.org/C124101348 |
| concepts[6].level | 1 |
| concepts[6].score | 0.4695834517478943 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[6].display_name | Data mining |
| concepts[7].id | https://openalex.org/C80444323 |
| concepts[7].level | 1 |
| concepts[7].score | 0.44924116134643555 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2878974 |
| concepts[7].display_name | Theoretical computer science |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.238759845495224 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.22561299800872803 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| concepts[10].id | https://openalex.org/C62520636 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[10].display_name | Quantum mechanics |
| concepts[11].id | https://openalex.org/C34447519 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q179522 |
| concepts[11].display_name | Market economy |
| concepts[12].id | https://openalex.org/C162324750 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[12].display_name | Economics |
| concepts[13].id | https://openalex.org/C114614502 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[13].display_name | Combinatorics |
| concepts[14].id | https://openalex.org/C121332964 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[14].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/hierarchical-clustering |
| keywords[0].score | 0.7766389846801758 |
| keywords[0].display_name | Hierarchical clustering |
| keywords[1].id | https://openalex.org/keywords/hierarchy |
| keywords[1].score | 0.7165859937667847 |
| keywords[1].display_name | Hierarchy |
| keywords[2].id | https://openalex.org/keywords/cluster-analysis |
| keywords[2].score | 0.6957106590270996 |
| keywords[2].display_name | Cluster analysis |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.6847214698791504 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/partition |
| keywords[4].score | 0.5165899991989136 |
| keywords[4].display_name | Partition (number theory) |
| keywords[5].id | https://openalex.org/keywords/entropy |
| keywords[5].score | 0.47044840455055237 |
| keywords[5].display_name | Entropy (arrow of time) |
| keywords[6].id | https://openalex.org/keywords/data-mining |
| keywords[6].score | 0.4695834517478943 |
| keywords[6].display_name | Data mining |
| keywords[7].id | https://openalex.org/keywords/theoretical-computer-science |
| keywords[7].score | 0.44924116134643555 |
| keywords[7].display_name | Theoretical computer science |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.238759845495224 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/mathematics |
| keywords[9].score | 0.22561299800872803 |
| keywords[9].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1002/advs.202503539 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2737737698 |
| locations[0].source.issn | 2198-3844 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2198-3844 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Advanced Science |
| locations[0].source.host_organization | https://openalex.org/P4310320595 |
| locations[0].source.host_organization_name | Wiley |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320595 |
| locations[0].source.host_organization_lineage_names | Wiley |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202503539 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Advanced Science |
| locations[0].landing_page_url | https://doi.org/10.1002/advs.202503539 |
| locations[1].id | pmid:40245302 |
| 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 | Advanced science (Weinheim, Baden-Wurttemberg, Germany) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/40245302 |
| locations[2].id | pmh:oai:doaj.org/article:92cc0460a8134bf1bfb1aa92cf4ac88d |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Advanced Science, Vol 12, Iss 26, Pp n/a-n/a (2025) |
| locations[2].landing_page_url | https://doaj.org/article/92cc0460a8134bf1bfb1aa92cf4ac88d |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:12245133 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Adv Sci (Weinh) |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/12245133 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5026166032 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-1522-988X |
| authorships[0].author.display_name | Bowen Tan |
| authorships[0].countries | HK |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I168719708 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Computer Science City University of Hong Kong Kowloon Hong Kong |
| authorships[0].institutions[0].id | https://openalex.org/I168719708 |
| authorships[0].institutions[0].ror | https://ror.org/03q8dnn23 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I168719708 |
| authorships[0].institutions[0].country_code | HK |
| authorships[0].institutions[0].display_name | City University of Hong Kong |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Bowen Tan |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Computer Science City University of Hong Kong Kowloon Hong Kong |
| authorships[1].author.id | https://openalex.org/A5100680483 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9544-2941 |
| authorships[1].author.display_name | Shiying Li |
| authorships[1].countries | HK |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I168719708 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Computer Science City University of Hong Kong Kowloon Hong Kong |
| 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 | Shiying Li |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Computer Science City University of Hong Kong Kowloon Hong Kong |
| authorships[2].author.id | https://openalex.org/A5059384594 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0266-9993 |
| authorships[2].author.display_name | Mengbo Wang |
| authorships[2].countries | HK |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I168719708 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Computer Science City University of Hong Kong Kowloon Hong Kong |
| authorships[2].institutions[0].id | https://openalex.org/I168719708 |
| authorships[2].institutions[0].ror | https://ror.org/03q8dnn23 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I168719708 |
| authorships[2].institutions[0].country_code | HK |
| authorships[2].institutions[0].display_name | City University of Hong Kong |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Mengbo Wang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Computer Science City University of Hong Kong Kowloon Hong Kong |
| 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 | HK |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I168719708 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Computer Science City University of Hong Kong Kowloon Hong Kong |
| authorships[3].institutions[0].id | https://openalex.org/I168719708 |
| authorships[3].institutions[0].ror | https://ror.org/03q8dnn23 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I168719708 |
| authorships[3].institutions[0].country_code | HK |
| authorships[3].institutions[0].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 | Department of Computer Science City University of Hong Kong Kowloon Hong Kong |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202503539 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy |
| 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/W2365264209, https://openalex.org/W962203960, https://openalex.org/W2026999166, https://openalex.org/W1996802783, https://openalex.org/W2509431957, https://openalex.org/W4211007821, https://openalex.org/W2802395037, https://openalex.org/W4389565704, https://openalex.org/W1976216854, https://openalex.org/W3200375535 |
| cited_by_count | 0 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1002/advs.202503539 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2737737698 |
| best_oa_location.source.issn | 2198-3844 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2198-3844 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Advanced Science |
| best_oa_location.source.host_organization | https://openalex.org/P4310320595 |
| best_oa_location.source.host_organization_name | Wiley |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320595 |
| best_oa_location.source.host_organization_lineage_names | Wiley |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202503539 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Advanced Science |
| best_oa_location.landing_page_url | https://doi.org/10.1002/advs.202503539 |
| primary_location.id | doi:10.1002/advs.202503539 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2737737698 |
| primary_location.source.issn | 2198-3844 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2198-3844 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Advanced Science |
| primary_location.source.host_organization | https://openalex.org/P4310320595 |
| primary_location.source.host_organization_name | Wiley |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320595 |
| primary_location.source.host_organization_lineage_names | Wiley |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202503539 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Advanced Science |
| primary_location.landing_page_url | https://doi.org/10.1002/advs.202503539 |
| publication_date | 2025-04-17 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W3028794237, https://openalex.org/W2055045760, https://openalex.org/W2947363304, https://openalex.org/W2547154161, https://openalex.org/W2772624269, https://openalex.org/W2897249806, https://openalex.org/W2949237386, https://openalex.org/W3169061801, https://openalex.org/W4220709779, https://openalex.org/W2885712366, https://openalex.org/W4308954516, https://openalex.org/W2338678442, https://openalex.org/W2102907934, https://openalex.org/W4235169531, https://openalex.org/W3038369633, https://openalex.org/W2999977864, https://openalex.org/W2953036966, https://openalex.org/W2800392236, https://openalex.org/W4309944312, https://openalex.org/W3132661792, https://openalex.org/W2916020270, https://openalex.org/W2925075625, https://openalex.org/W4282930876, https://openalex.org/W3130814454, https://openalex.org/W4321371213, https://openalex.org/W2007439698, https://openalex.org/W2023887100, https://openalex.org/W2120205807, https://openalex.org/W2125336256, https://openalex.org/W2307567449, https://openalex.org/W2137065828, https://openalex.org/W1984883254, https://openalex.org/W2111882541, https://openalex.org/W2523419694, https://openalex.org/W2567589593, https://openalex.org/W4322732173, https://openalex.org/W2008787016, https://openalex.org/W2607319693, https://openalex.org/W2032995169, https://openalex.org/W2275021895, https://openalex.org/W3088770220, https://openalex.org/W2069440750, https://openalex.org/W4384661701, https://openalex.org/W3127422037, https://openalex.org/W2765284830, https://openalex.org/W3106188259 |
| referenced_works_count | 46 |
| abstract_inverted_index.a | 33, 52, 71, 78, 129, 179 |
| abstract_inverted_index.In | 117 |
| abstract_inverted_index.On | 149 |
| abstract_inverted_index.as | 178 |
| abstract_inverted_index.by | 65, 164 |
| abstract_inverted_index.in | 2, 125, 186, 191 |
| abstract_inverted_index.is | 31, 94 |
| abstract_inverted_index.of | 10, 25, 87, 135, 159 |
| abstract_inverted_index.on | 41, 96 |
| abstract_inverted_index.to | 19, 46, 108, 138 |
| abstract_inverted_index.RNA | 4 |
| abstract_inverted_index.TE. | 67 |
| abstract_inverted_index.and | 28, 60, 99, 115, 142, 170, 194 |
| abstract_inverted_index.but | 13 |
| abstract_inverted_index.for | 36, 74, 81, 182 |
| abstract_inverted_index.the | 21, 85, 152, 156 |
| abstract_inverted_index.0.39 | 139 |
| abstract_inverted_index.0.67 | 143 |
| abstract_inverted_index.SEAT | 141 |
| abstract_inverted_index.This | 68 |
| abstract_inverted_index.both | 97 |
| abstract_inverted_index.cell | 26, 63, 161 |
| abstract_inverted_index.fail | 18 |
| abstract_inverted_index.from | 140, 144 |
| abstract_inverted_index.gene | 165 |
| abstract_inverted_index.like | 111 |
| abstract_inverted_index.real | 150 |
| abstract_inverted_index.that | 56 |
| abstract_inverted_index.this | 48 |
| abstract_inverted_index.tool | 181 |
| abstract_inverted_index.tree | 55 |
| abstract_inverted_index.with | 77, 128, 189 |
| abstract_inverted_index.(TE), | 44 |
| abstract_inverted_index.0.15, | 136 |
| abstract_inverted_index.SEAT. | 116 |
| abstract_inverted_index.These | 173 |
| abstract_inverted_index.among | 62 |
| abstract_inverted_index.based | 40 |
| abstract_inverted_index.data, | 188 |
| abstract_inverted_index.local | 82 |
| abstract_inverted_index.lower | 130 |
| abstract_inverted_index.novel | 34 |
| abstract_inverted_index.often | 17 |
| abstract_inverted_index.tools | 110 |
| abstract_inverted_index.tumor | 192 |
| abstract_inverted_index.types | 27, 64 |
| abstract_inverted_index.CeiTEA | 30, 50, 93, 121, 153 |
| abstract_inverted_index.enable | 7 |
| abstract_inverted_index.method | 69 |
| abstract_inverted_index.tissue | 195 |
| abstract_inverted_index.within | 91 |
| abstract_inverted_index.Leiden, | 113 |
| abstract_inverted_index.address | 47 |
| abstract_inverted_index.average | 131 |
| abstract_inverted_index.capture | 20 |
| abstract_inverted_index.complex | 22, 184 |
| abstract_inverted_index.entropy | 43 |
| abstract_inverted_index.methods | 16 |
| abstract_inverted_index.potency | 158 |
| abstract_inverted_index.smaller | 88 |
| abstract_inverted_index.various | 160 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Advances | 1 |
| abstract_inverted_index.CeiTEA's | 176 |
| abstract_inverted_index.Louvain, | 112 |
| abstract_inverted_index.adaptive | 37 |
| abstract_inverted_index.analysis | 9 |
| abstract_inverted_index.cellular | 11 |
| abstract_inverted_index.combines | 70 |
| abstract_inverted_index.compared | 107, 137 |
| abstract_inverted_index.designed | 45 |
| abstract_inverted_index.detailed | 8 |
| abstract_inverted_index.distance | 134 |
| abstract_inverted_index.existing | 14 |
| abstract_inverted_index.findings | 174 |
| abstract_inverted_index.methods. | 148 |
| abstract_inverted_index.ontology | 166 |
| abstract_inverted_index.powerful | 180 |
| abstract_inverted_index.reflects | 155 |
| abstract_inverted_index.strategy | 73, 80 |
| abstract_inverted_index.superior | 104, 123 |
| abstract_inverted_index.algorithm | 35 |
| abstract_inverted_index.analysis. | 172 |
| abstract_inverted_index.datasets, | 102, 120, 151 |
| abstract_inverted_index.diversity | 61 |
| abstract_inverted_index.evaluated | 95 |
| abstract_inverted_index.hierarchy | 75, 154 |
| abstract_inverted_index.highlight | 175 |
| abstract_inverted_index.optimally | 57 |
| abstract_inverted_index.partition | 54 |
| abstract_inverted_index.potential | 177 |
| abstract_inverted_index.simulated | 98, 118 |
| abstract_inverted_index.subtrees. | 92 |
| abstract_inverted_index.subtypes. | 29 |
| abstract_inverted_index.validated | 163 |
| abstract_inverted_index.K‐means, | 114 |
| abstract_inverted_index.challenge. | 49 |
| abstract_inverted_index.clustering | 15, 39, 105, 132, 147 |
| abstract_inverted_index.constructs | 51 |
| abstract_inverted_index.minimizing | 66 |
| abstract_inverted_index.represents | 58 |
| abstract_inverted_index.retrieving | 126 |
| abstract_inverted_index.sequencing | 5 |
| abstract_inverted_index.structures | 24, 90 |
| abstract_inverted_index.top‐down | 79 |
| abstract_inverted_index.bottom‐up | 72 |
| abstract_inverted_index.cell‐cell | 168 |
| abstract_inverted_index.enrichment, | 167 |
| abstract_inverted_index.hierarchies | 127 |
| abstract_inverted_index.information | 133 |
| abstract_inverted_index.introduced, | 32 |
| abstract_inverted_index.performance | 106, 124 |
| abstract_inverted_index.scRNA‐seq | 101 |
| abstract_inverted_index.topological | 42 |
| abstract_inverted_index.traditional | 145 |
| abstract_inverted_index.applications | 190 |
| abstract_inverted_index.construction | 76 |
| abstract_inverted_index.demonstrated | 122 |
| abstract_inverted_index.facilitating | 84 |
| abstract_inverted_index.hierarchical | 23, 38, 89, 146 |
| abstract_inverted_index.interaction, | 169 |
| abstract_inverted_index.multi‐nary | 53 |
| abstract_inverted_index.populations, | 162 |
| abstract_inverted_index.real‐world | 100 |
| abstract_inverted_index.(scRNA‐seq) | 6 |
| abstract_inverted_index.demonstrating | 103 |
| abstract_inverted_index.developmental | 157 |
| abstract_inverted_index.heterogeneity | 193 |
| abstract_inverted_index.multi‐layer | 119 |
| abstract_inverted_index.pseudo‐time | 171 |
| abstract_inverted_index.relationships | 59, 185 |
| abstract_inverted_index.single‐cell | 3, 187 |
| abstract_inverted_index.understanding | 183 |
| abstract_inverted_index.heterogeneity, | 12 |
| abstract_inverted_index.identification | 86 |
| abstract_inverted_index.specification. | 196 |
| abstract_inverted_index.diversification, | 83 |
| abstract_inverted_index.state‐of‐the‐art | 109 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.11955758 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |