Publication:

Extracting functional insights from loss-of-function screens using deep link prediction

Date

2022
Journal article
https://doi.org/10.1016/j.crmeth.2022.100171
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dc.contributor.authorStrybol, Pieter-Paul
dc.contributor.authorLarmuseau, Maarten
dc.contributor.authorDe Schaetzen van Brienen, Louise
dc.contributor.authorVan den Bulcke, Tim
dc.contributor.authorMarchal, Kathleen
dc.contributor.imecauthorStrybol, Pieter-Paul
dc.contributor.imecauthorLarmuseau, Maarten
dc.contributor.imecauthorDe Schaetzen van Brienen, Louise
dc.contributor.imecauthorMarchal, Kathleen
dc.contributor.orcidimecStrybol, Pieter-Paul::0000-0001-6052-9553
dc.contributor.orcidimecLarmuseau, Maarten::0000-0003-0466-099X
dc.contributor.orcidimecMarchal, Kathleen::0000-0002-2169-4588
dc.contributor.orcidimecDe Schaetzen van Brienen, Louise::0000-0002-5882-9458
dc.date.accessioned2023-02-02T15:19:41Z
dc.date.available2023-02-02T03:18:11Z
dc.date.available2023-02-02T10:14:04Z
dc.date.available2023-02-02T15:19:41Z
dc.date.embargo2022-02-28
dc.date.issued2022
dc.description.wosFundingTextThe work was supported by grants of the Fonds Wetenschappelijk Onderzoek-Vlaanderen (FWO) (3G046318 and G.0371.06) and UGent BOF.; P.-P.S. is supported by a personal Baekeland grant from VLAIO (HBC.2019.2608), M.L. and L.d.S.v.B. are supported by a personal FWO grant. Funding for open access charges comes from Fonds Wetenschappelijk Onderzoek (G.0371.06). None of the sponsors was involved in the design of the study, in the collection, analysis, and interpretation of data, or in writing the manuscript. We also would like to thank the reviewers for their useful feedback, which has greatly improved the quality of the manuscript. Finally, we would like to thank Alexandru Cristian Mara for his continued support of his software package, EvalNE, as well as extensive feedback on the manuscript.
dc.identifier.doi10.1016/j.crmeth.2022.100171
dc.identifier.issn2667-2375
dc.identifier.pmidMEDLINE:35474966
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41052
dc.publisherELSEVIER
dc.source.beginpage100171
dc.source.endpagena
dc.source.issue2
dc.source.journalCELL REPORTS METHODS
dc.source.numberofpages16
dc.source.volume2
dc.subject.keywordsLARGE-SCALE
dc.subject.keywordsCANCER
dc.subject.keywordsDEPENDENCIES
dc.subject.keywordsTARGETS
dc.subject.keywordsCELLS
dc.subject.keywordsRNAI
dc.title

Extracting functional insights from loss-of-function screens using deep link prediction

dc.typeJournal article
dspace.entity.typePublication
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