DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks Article Swipe
Pauline Hiort
,
Julian Hugo
,
Justus Zeinert
,
Nataniel Müller
,
Spoorthi Kashyap
,
Jagath C. Rajapakse
,
Francisco Azuaje
,
Bernhard Y. Renard
,
Katharina Baum
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.05.31.493964
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.05.31.493964
Motivation While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have been proposed, and networks provide means to incorporate molecular interactions into reasoning. However, how to integrate the wealth of information contained in multiple omics layers still poses a complex problem. Results We present DrDimont, D rug r esponse prediction from Di fferential analysis of m ulti- o mics n e t works. It allows for comparative conclusions between two conditions and translates them into differential drug response predictions. DrDimont focuses on molecular interactions. It establishes condition-specific networks from correlation within an omics layer that are then reduced and combined into heterogeneous, multi-omics molecular networks. A novel semi-local, path-based integration step ensures integrative conclusions. Differential predictions are derived from comparing the condition-specific integrated networks. DrDimont’s predictions are explainable, i.e., molecular differences that are the source of high differential drug scores can be retrieved. We predict differential drug response in breast cancer using transcriptomics, proteomics, phosphosite, and metabolomics measurements and contrast estrogen receptor positive and receptor negative patients. DrDimont performs better than drug prediction based on differential protein expression or PageRank when evaluating it on ground truth data from cancer cell lines. We find proteomic and phosphosite layers to carry most information for distinguishing drug response. Availability DrDimont is available on CRAN: https://cran.r-project.org/package=DrDimont . Contact [email protected]
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.05.31.493964
- https://www.biorxiv.org/content/biorxiv/early/2022/05/31/2022.05.31.493964.full.pdf
- OA Status
- green
- References
- 65
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281616288
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4281616288Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2022.05.31.493964Digital Object Identifier
- Title
-
DrDimont: Explainable drug response prediction from differential analysis of multi-omics networksWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-31Full publication date if available
- Authors
-
Pauline Hiort, Julian Hugo, Justus Zeinert, Nataniel Müller, Spoorthi Kashyap, Jagath C. Rajapakse, Francisco Azuaje, Bernhard Y. Renard, Katharina BaumList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.05.31.493964Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/05/31/2022.05.31.493964.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/05/31/2022.05.31.493964.full.pdfDirect OA link when available
- Concepts
-
Computational biology, Drug response, Omics, Computer science, Differential (mechanical device), Systems biology, Centrality, Proteomics, Bioinformatics, Drug, Data mining, Biology, Gene, Mathematics, Physics, Pharmacology, Genetics, Thermodynamics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
65Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4281616288 |
|---|---|
| doi | https://doi.org/10.1101/2022.05.31.493964 |
| ids.doi | https://doi.org/10.1101/2022.05.31.493964 |
| ids.openalex | https://openalex.org/W4281616288 |
| fwci | 0.0 |
| type | preprint |
| title | DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10887 |
| 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 | Bioinformatics and Genomic Networks |
| topics[1].id | https://openalex.org/T10211 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9994000196456909 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1703 |
| topics[1].subfield.display_name | Computational Theory and Mathematics |
| topics[1].display_name | Computational Drug Discovery Methods |
| topics[2].id | https://openalex.org/T10836 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.996399998664856 |
| 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 | Metabolomics and Mass Spectrometry Studies |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C70721500 |
| concepts[0].level | 1 |
| concepts[0].score | 0.5583617687225342 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q177005 |
| concepts[0].display_name | Computational biology |
| concepts[1].id | https://openalex.org/C2994119904 |
| concepts[1].level | 3 |
| concepts[1].score | 0.558225154876709 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1251001 |
| concepts[1].display_name | Drug response |
| concepts[2].id | https://openalex.org/C157585117 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5439888834953308 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q158666 |
| concepts[2].display_name | Omics |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.524992823600769 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C93226319 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4616042971611023 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q193137 |
| concepts[4].display_name | Differential (mechanical device) |
| concepts[5].id | https://openalex.org/C152662350 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4359636604785919 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q815297 |
| concepts[5].display_name | Systems biology |
| concepts[6].id | https://openalex.org/C53811970 |
| concepts[6].level | 2 |
| concepts[6].score | 0.41991299390792847 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q5062194 |
| concepts[6].display_name | Centrality |
| concepts[7].id | https://openalex.org/C46111723 |
| concepts[7].level | 3 |
| concepts[7].score | 0.41622209548950195 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q471857 |
| concepts[7].display_name | Proteomics |
| concepts[8].id | https://openalex.org/C60644358 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3746640086174011 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q128570 |
| concepts[8].display_name | Bioinformatics |
| concepts[9].id | https://openalex.org/C2780035454 |
| concepts[9].level | 2 |
| concepts[9].score | 0.3731996417045593 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q8386 |
| concepts[9].display_name | Drug |
| concepts[10].id | https://openalex.org/C124101348 |
| concepts[10].level | 1 |
| concepts[10].score | 0.35372593998908997 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[10].display_name | Data mining |
| concepts[11].id | https://openalex.org/C86803240 |
| concepts[11].level | 0 |
| concepts[11].score | 0.347675085067749 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[11].display_name | Biology |
| concepts[12].id | https://openalex.org/C104317684 |
| concepts[12].level | 2 |
| concepts[12].score | 0.14762365818023682 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[12].display_name | Gene |
| concepts[13].id | https://openalex.org/C33923547 |
| concepts[13].level | 0 |
| concepts[13].score | 0.1322811245918274 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[13].display_name | Mathematics |
| concepts[14].id | https://openalex.org/C121332964 |
| concepts[14].level | 0 |
| concepts[14].score | 0.11319723725318909 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[14].display_name | Physics |
| concepts[15].id | https://openalex.org/C98274493 |
| concepts[15].level | 1 |
| concepts[15].score | 0.11305093765258789 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q128406 |
| concepts[15].display_name | Pharmacology |
| concepts[16].id | https://openalex.org/C54355233 |
| concepts[16].level | 1 |
| concepts[16].score | 0.082394540309906 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7162 |
| concepts[16].display_name | Genetics |
| concepts[17].id | https://openalex.org/C97355855 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q11473 |
| concepts[17].display_name | Thermodynamics |
| concepts[18].id | https://openalex.org/C114614502 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[18].display_name | Combinatorics |
| keywords[0].id | https://openalex.org/keywords/computational-biology |
| keywords[0].score | 0.5583617687225342 |
| keywords[0].display_name | Computational biology |
| keywords[1].id | https://openalex.org/keywords/drug-response |
| keywords[1].score | 0.558225154876709 |
| keywords[1].display_name | Drug response |
| keywords[2].id | https://openalex.org/keywords/omics |
| keywords[2].score | 0.5439888834953308 |
| keywords[2].display_name | Omics |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.524992823600769 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/differential |
| keywords[4].score | 0.4616042971611023 |
| keywords[4].display_name | Differential (mechanical device) |
| keywords[5].id | https://openalex.org/keywords/systems-biology |
| keywords[5].score | 0.4359636604785919 |
| keywords[5].display_name | Systems biology |
| keywords[6].id | https://openalex.org/keywords/centrality |
| keywords[6].score | 0.41991299390792847 |
| keywords[6].display_name | Centrality |
| keywords[7].id | https://openalex.org/keywords/proteomics |
| keywords[7].score | 0.41622209548950195 |
| keywords[7].display_name | Proteomics |
| keywords[8].id | https://openalex.org/keywords/bioinformatics |
| keywords[8].score | 0.3746640086174011 |
| keywords[8].display_name | Bioinformatics |
| keywords[9].id | https://openalex.org/keywords/drug |
| keywords[9].score | 0.3731996417045593 |
| keywords[9].display_name | Drug |
| keywords[10].id | https://openalex.org/keywords/data-mining |
| keywords[10].score | 0.35372593998908997 |
| keywords[10].display_name | Data mining |
| keywords[11].id | https://openalex.org/keywords/biology |
| keywords[11].score | 0.347675085067749 |
| keywords[11].display_name | Biology |
| keywords[12].id | https://openalex.org/keywords/gene |
| keywords[12].score | 0.14762365818023682 |
| keywords[12].display_name | Gene |
| keywords[13].id | https://openalex.org/keywords/mathematics |
| keywords[13].score | 0.1322811245918274 |
| keywords[13].display_name | Mathematics |
| keywords[14].id | https://openalex.org/keywords/physics |
| keywords[14].score | 0.11319723725318909 |
| keywords[14].display_name | Physics |
| keywords[15].id | https://openalex.org/keywords/pharmacology |
| keywords[15].score | 0.11305093765258789 |
| keywords[15].display_name | Pharmacology |
| keywords[16].id | https://openalex.org/keywords/genetics |
| keywords[16].score | 0.082394540309906 |
| keywords[16].display_name | Genetics |
| language | en |
| locations[0].id | doi:10.1101/2022.05.31.493964 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | cc-by-nd |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/05/31/2022.05.31.493964.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2022.05.31.493964 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5065951049 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-3530-7358 |
| authorships[0].author.display_name | Pauline Hiort |
| authorships[0].countries | DE |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[0].affiliations[0].raw_affiliation_string | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[0].institutions[0].id | https://openalex.org/I143288331 |
| authorships[0].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[0].institutions[0].country_code | DE |
| authorships[0].institutions[0].display_name | Hasso Plattner Institute |
| authorships[0].institutions[1].id | https://openalex.org/I176453806 |
| authorships[0].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[0].institutions[1].country_code | DE |
| authorships[0].institutions[1].display_name | University of Potsdam |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Pauline Hiort |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[1].author.id | https://openalex.org/A5062892376 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-3355-1071 |
| authorships[1].author.display_name | Julian Hugo |
| authorships[1].countries | DE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[1].affiliations[0].raw_affiliation_string | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[1].institutions[0].id | https://openalex.org/I143288331 |
| authorships[1].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[1].institutions[0].country_code | DE |
| authorships[1].institutions[0].display_name | Hasso Plattner Institute |
| authorships[1].institutions[1].id | https://openalex.org/I176453806 |
| authorships[1].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[1].institutions[1].type | education |
| authorships[1].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[1].institutions[1].country_code | DE |
| authorships[1].institutions[1].display_name | University of Potsdam |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Julian Hugo |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[2].author.id | https://openalex.org/A5091265453 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3918-0507 |
| authorships[2].author.display_name | Justus Zeinert |
| authorships[2].countries | DE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[2].affiliations[0].raw_affiliation_string | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[2].institutions[0].id | https://openalex.org/I143288331 |
| authorships[2].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[2].institutions[0].country_code | DE |
| authorships[2].institutions[0].display_name | Hasso Plattner Institute |
| authorships[2].institutions[1].id | https://openalex.org/I176453806 |
| authorships[2].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[2].institutions[1].country_code | DE |
| authorships[2].institutions[1].display_name | University of Potsdam |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Justus Zeinert |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[3].author.id | https://openalex.org/A5074274278 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Nataniel Müller |
| authorships[3].countries | DE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[3].affiliations[0].raw_affiliation_string | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[3].institutions[0].id | https://openalex.org/I143288331 |
| authorships[3].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[3].institutions[0].country_code | DE |
| authorships[3].institutions[0].display_name | Hasso Plattner Institute |
| authorships[3].institutions[1].id | https://openalex.org/I176453806 |
| authorships[3].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[3].institutions[1].country_code | DE |
| authorships[3].institutions[1].display_name | University of Potsdam |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Nataniel Müller |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[4].author.id | https://openalex.org/A5003656176 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-5474-8183 |
| authorships[4].author.display_name | Spoorthi Kashyap |
| authorships[4].countries | DE |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[4].affiliations[0].raw_affiliation_string | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[4].institutions[0].id | https://openalex.org/I143288331 |
| authorships[4].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[4].institutions[0].country_code | DE |
| authorships[4].institutions[0].display_name | Hasso Plattner Institute |
| authorships[4].institutions[1].id | https://openalex.org/I176453806 |
| authorships[4].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[4].institutions[1].type | education |
| authorships[4].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[4].institutions[1].country_code | DE |
| authorships[4].institutions[1].display_name | University of Potsdam |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Spoorthi Kashyap |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[5].author.id | https://openalex.org/A5026076885 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-7944-1658 |
| authorships[5].author.display_name | Jagath C. Rajapakse |
| authorships[5].countries | SG |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I172675005 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Computer Science and Engineering, Nanyang Technological University, 639798, Singapore |
| authorships[5].institutions[0].id | https://openalex.org/I172675005 |
| authorships[5].institutions[0].ror | https://ror.org/02e7b5302 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I172675005 |
| authorships[5].institutions[0].country_code | SG |
| authorships[5].institutions[0].display_name | Nanyang Technological University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Jagath C. Rajapakse |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | School of Computer Science and Engineering, Nanyang Technological University, 639798, Singapore |
| authorships[6].author.id | https://openalex.org/A5050612781 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-9207-9072 |
| authorships[6].author.display_name | Francisco Azuaje |
| authorships[6].countries | GB |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210143578 |
| authorships[6].affiliations[0].raw_affiliation_string | Genomics England, London, EC1M 6BQ, United Kingdom |
| authorships[6].institutions[0].id | https://openalex.org/I4210143578 |
| authorships[6].institutions[0].ror | https://ror.org/04rxxfz69 |
| authorships[6].institutions[0].type | other |
| authorships[6].institutions[0].lineage | https://openalex.org/I1311074006, https://openalex.org/I4210143578 |
| authorships[6].institutions[0].country_code | GB |
| authorships[6].institutions[0].display_name | Genomics England |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Francisco Azuaje |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Genomics England, London, EC1M 6BQ, United Kingdom |
| authorships[7].author.id | https://openalex.org/A5005996110 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-4589-9809 |
| authorships[7].author.display_name | Bernhard Y. Renard |
| authorships[7].countries | DE |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[7].affiliations[0].raw_affiliation_string | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[7].institutions[0].id | https://openalex.org/I143288331 |
| authorships[7].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[7].institutions[0].type | facility |
| authorships[7].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[7].institutions[0].country_code | DE |
| authorships[7].institutions[0].display_name | Hasso Plattner Institute |
| authorships[7].institutions[1].id | https://openalex.org/I176453806 |
| authorships[7].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[7].institutions[1].type | education |
| authorships[7].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[7].institutions[1].country_code | DE |
| authorships[7].institutions[1].display_name | University of Potsdam |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Bernhard Y. Renard |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[8].author.id | https://openalex.org/A5067843065 |
| authorships[8].author.orcid | https://orcid.org/0000-0001-7256-0566 |
| authorships[8].author.display_name | Katharina Baum |
| authorships[8].countries | DE |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[8].affiliations[0].raw_affiliation_string | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| authorships[8].institutions[0].id | https://openalex.org/I143288331 |
| authorships[8].institutions[0].ror | https://ror.org/058rn5r42 |
| authorships[8].institutions[0].type | facility |
| authorships[8].institutions[0].lineage | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| authorships[8].institutions[0].country_code | DE |
| authorships[8].institutions[0].display_name | Hasso Plattner Institute |
| authorships[8].institutions[1].id | https://openalex.org/I176453806 |
| authorships[8].institutions[1].ror | https://ror.org/03bnmw459 |
| authorships[8].institutions[1].type | education |
| authorships[8].institutions[1].lineage | https://openalex.org/I176453806 |
| authorships[8].institutions[1].country_code | DE |
| authorships[8].institutions[1].display_name | University of Potsdam |
| authorships[8].author_position | last |
| authorships[8].raw_author_name | Katharina Baum |
| authorships[8].is_corresponding | True |
| authorships[8].raw_affiliation_strings | Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, 4482, Germany |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.biorxiv.org/content/biorxiv/early/2022/05/31/2022.05.31.493964.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10887 |
| 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 | Bioinformatics and Genomic Networks |
| related_works | https://openalex.org/W2968034273, https://openalex.org/W2923570064, https://openalex.org/W3178451381, https://openalex.org/W3197973722, https://openalex.org/W2208562635, https://openalex.org/W2391375401, https://openalex.org/W2108571760, https://openalex.org/W2104887694, https://openalex.org/W2757022125, https://openalex.org/W4220817640 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2022.05.31.493964 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | cc-by-nd |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/05/31/2022.05.31.493964.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2022.05.31.493964 |
| primary_location.id | doi:10.1101/2022.05.31.493964 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | cc-by-nd |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/05/31/2022.05.31.493964.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2022.05.31.493964 |
| publication_date | 2022-05-31 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2808845633, https://openalex.org/W2918039280, https://openalex.org/W2043398720, https://openalex.org/W642687531, https://openalex.org/W2264481086, https://openalex.org/W2983296354, https://openalex.org/W2066636486, https://openalex.org/W2072816950, https://openalex.org/W3120515035, https://openalex.org/W2158485828, https://openalex.org/W229097380, https://openalex.org/W6912756295, https://openalex.org/W3207245180, https://openalex.org/W6977165764, https://openalex.org/W3007701192, https://openalex.org/W2790295707, https://openalex.org/W2767593474, https://openalex.org/W2921921533, https://openalex.org/W2139132031, https://openalex.org/W2747036018, https://openalex.org/W3035965352, https://openalex.org/W2624701078, https://openalex.org/W2147566730, https://openalex.org/W2461427403, https://openalex.org/W2956963717, https://openalex.org/W3104755560, https://openalex.org/W1966327575, https://openalex.org/W3003893414, https://openalex.org/W2156178044, https://openalex.org/W2944723276, https://openalex.org/W3117878356, https://openalex.org/W2395887422, https://openalex.org/W2780624097, https://openalex.org/W3001475835, https://openalex.org/W3136516983, https://openalex.org/W2941275129, https://openalex.org/W4220920857, https://openalex.org/W3109164129, https://openalex.org/W3082153144, https://openalex.org/W2767334810, https://openalex.org/W3173875945, https://openalex.org/W1979209006, https://openalex.org/W2938826237, https://openalex.org/W3155329622, https://openalex.org/W3019897091, https://openalex.org/W2220553089, https://openalex.org/W2950993016, https://openalex.org/W3023485287, https://openalex.org/W3001983074, https://openalex.org/W3156270925, https://openalex.org/W2971832717, https://openalex.org/W2569335714, https://openalex.org/W2294516783, https://openalex.org/W2044055595, https://openalex.org/W2951531839, https://openalex.org/W1987219048, https://openalex.org/W2899866452, https://openalex.org/W4254687493, https://openalex.org/W2767891136, https://openalex.org/W2108068107, https://openalex.org/W2274879598, https://openalex.org/W2805406480, https://openalex.org/W2787897791, https://openalex.org/W2470990452, https://openalex.org/W3099878876 |
| referenced_works_count | 65 |
| abstract_inverted_index.. | 229 |
| abstract_inverted_index.A | 122 |
| abstract_inverted_index.D | 62 |
| abstract_inverted_index.a | 55 |
| abstract_inverted_index.e | 77 |
| abstract_inverted_index.m | 72 |
| abstract_inverted_index.n | 76 |
| abstract_inverted_index.o | 74 |
| abstract_inverted_index.r | 64 |
| abstract_inverted_index.t | 78 |
| abstract_inverted_index.Di | 68 |
| abstract_inverted_index.It | 80, 101 |
| abstract_inverted_index.We | 59, 160, 208 |
| abstract_inverted_index.an | 108 |
| abstract_inverted_index.be | 158 |
| abstract_inverted_index.in | 49, 165 |
| abstract_inverted_index.is | 224 |
| abstract_inverted_index.it | 3, 199 |
| abstract_inverted_index.of | 46, 71, 152 |
| abstract_inverted_index.on | 23, 98, 191, 200, 226 |
| abstract_inverted_index.or | 195 |
| abstract_inverted_index.to | 34, 42, 214 |
| abstract_inverted_index.and | 11, 30, 88, 115, 172, 175, 180, 211 |
| abstract_inverted_index.are | 112, 133, 143, 149 |
| abstract_inverted_index.can | 157 |
| abstract_inverted_index.for | 82, 218 |
| abstract_inverted_index.has | 4 |
| abstract_inverted_index.how | 41 |
| abstract_inverted_index.rug | 63 |
| abstract_inverted_index.the | 44, 137, 150 |
| abstract_inverted_index.two | 86 |
| abstract_inverted_index.been | 5, 28 |
| abstract_inverted_index.cell | 206 |
| abstract_inverted_index.data | 203 |
| abstract_inverted_index.drug | 16, 93, 155, 163, 188, 220 |
| abstract_inverted_index.find | 209 |
| abstract_inverted_index.from | 67, 105, 135, 204 |
| abstract_inverted_index.have | 27 |
| abstract_inverted_index.help | 12 |
| abstract_inverted_index.high | 153 |
| abstract_inverted_index.into | 38, 91, 117 |
| abstract_inverted_index.mics | 75 |
| abstract_inverted_index.most | 216 |
| abstract_inverted_index.step | 127 |
| abstract_inverted_index.than | 187 |
| abstract_inverted_index.that | 8, 111, 148 |
| abstract_inverted_index.them | 90 |
| abstract_inverted_index.then | 113 |
| abstract_inverted_index.well | 6 |
| abstract_inverted_index.when | 197 |
| abstract_inverted_index.CRAN: | 227 |
| abstract_inverted_index.While | 2 |
| abstract_inverted_index.based | 22, 190 |
| abstract_inverted_index.carry | 215 |
| abstract_inverted_index.drugs | 9 |
| abstract_inverted_index.i.e., | 145 |
| abstract_inverted_index.layer | 110 |
| abstract_inverted_index.means | 33 |
| abstract_inverted_index.novel | 123 |
| abstract_inverted_index.omics | 25, 51, 109 |
| abstract_inverted_index.poses | 54 |
| abstract_inverted_index.still | 53 |
| abstract_inverted_index.truth | 202 |
| abstract_inverted_index.ulti- | 73 |
| abstract_inverted_index.using | 168 |
| abstract_inverted_index.affect | 10 |
| abstract_inverted_index.allows | 81 |
| abstract_inverted_index.better | 186 |
| abstract_inverted_index.breast | 166 |
| abstract_inverted_index.cancer | 167, 205 |
| abstract_inverted_index.ground | 201 |
| abstract_inverted_index.layers | 52, 213 |
| abstract_inverted_index.lines. | 207 |
| abstract_inverted_index.remain | 19 |
| abstract_inverted_index.scores | 156 |
| abstract_inverted_index.single | 24 |
| abstract_inverted_index.source | 151 |
| abstract_inverted_index.wealth | 45 |
| abstract_inverted_index.within | 107 |
| abstract_inverted_index.works. | 79 |
| abstract_inverted_index.Contact | 230 |
| abstract_inverted_index.Results | 58 |
| abstract_inverted_index.between | 85 |
| abstract_inverted_index.complex | 56 |
| abstract_inverted_index.derived | 134 |
| abstract_inverted_index.ensures | 128 |
| abstract_inverted_index.esponse | 65 |
| abstract_inverted_index.focuses | 97 |
| abstract_inverted_index.predict | 161 |
| abstract_inverted_index.present | 60 |
| abstract_inverted_index.protein | 193 |
| abstract_inverted_index.provide | 32 |
| abstract_inverted_index.reduced | 114 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.DrDimont | 96, 184, 223 |
| abstract_inverted_index.However, | 40 |
| abstract_inverted_index.PageRank | 196 |
| abstract_inverted_index.analysis | 70 |
| abstract_inverted_index.combined | 116 |
| abstract_inverted_index.contrast | 176 |
| abstract_inverted_index.estrogen | 177 |
| abstract_inverted_index.multiple | 50 |
| abstract_inverted_index.negative | 182 |
| abstract_inverted_index.networks | 31, 104 |
| abstract_inverted_index.patients | 13 |
| abstract_inverted_index.performs | 185 |
| abstract_inverted_index.positive | 179 |
| abstract_inverted_index.problem. | 57 |
| abstract_inverted_index.receptor | 178, 181 |
| abstract_inverted_index.response | 17, 94, 164 |
| abstract_inverted_index.DrDimont, | 61 |
| abstract_inverted_index.Solutions | 21 |
| abstract_inverted_index.available | 225 |
| abstract_inverted_index.comparing | 136 |
| abstract_inverted_index.contained | 48 |
| abstract_inverted_index.integrate | 43 |
| abstract_inverted_index.molecular | 36, 99, 120, 146 |
| abstract_inverted_index.networks. | 121, 140 |
| abstract_inverted_index.patients. | 183 |
| abstract_inverted_index.proposed, | 29 |
| abstract_inverted_index.proteomic | 210 |
| abstract_inverted_index.response. | 221 |
| abstract_inverted_index.Motivation | 1 |
| abstract_inverted_index.conditions | 87 |
| abstract_inverted_index.evaluating | 198 |
| abstract_inverted_index.expression | 194 |
| abstract_inverted_index.fferential | 69 |
| abstract_inverted_index.integrated | 139 |
| abstract_inverted_index.path-based | 125 |
| abstract_inverted_index.prediction | 66, 189 |
| abstract_inverted_index.reasoning. | 39 |
| abstract_inverted_index.retrieved. | 159 |
| abstract_inverted_index.translates | 89 |
| abstract_inverted_index.comparative | 83 |
| abstract_inverted_index.conclusions | 84 |
| abstract_inverted_index.correlation | 106 |
| abstract_inverted_index.differences | 147 |
| abstract_inverted_index.established | 7 |
| abstract_inverted_index.establishes | 102 |
| abstract_inverted_index.incorporate | 35 |
| abstract_inverted_index.information | 47, 217 |
| abstract_inverted_index.integration | 126 |
| abstract_inverted_index.integrative | 129 |
| abstract_inverted_index.multi-omics | 119 |
| abstract_inverted_index.phosphosite | 212 |
| abstract_inverted_index.predictions | 18, 132, 142 |
| abstract_inverted_index.proteomics, | 170 |
| abstract_inverted_index.semi-local, | 124 |
| abstract_inverted_index.Availability | 222 |
| abstract_inverted_index.Differential | 131 |
| abstract_inverted_index.DrDimont’s | 141 |
| abstract_inverted_index.challenging. | 20 |
| abstract_inverted_index.conclusions. | 130 |
| abstract_inverted_index.differential | 92, 154, 162, 192 |
| abstract_inverted_index.differently, | 14 |
| abstract_inverted_index.explainable, | 144 |
| abstract_inverted_index.interactions | 37 |
| abstract_inverted_index.measurements | 26, 174 |
| abstract_inverted_index.metabolomics | 173 |
| abstract_inverted_index.personalized | 15 |
| abstract_inverted_index.phosphosite, | 171 |
| abstract_inverted_index.predictions. | 95 |
| abstract_inverted_index.interactions. | 100 |
| abstract_inverted_index.distinguishing | 219 |
| abstract_inverted_index.heterogeneous, | 118 |
| abstract_inverted_index.transcriptomics, | 169 |
| abstract_inverted_index.condition-specific | 103, 138 |
| [email protected] | 231 |
| abstract_inverted_index.https://cran.r-project.org/package=DrDimont | 228 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5067843065 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I143288331, https://openalex.org/I176453806 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.05755408 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |