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Ten quick tips for causal analysis of biomedical omics data.

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dc.contributor.authorSvinin, Gleb
dc.contributor.authorLoo, Rebecca Ting Jiin
dc.contributor.authorKumar, Nikhilesh Vasantha
dc.contributor.authorMurthy, Varsha Venkatesha
dc.contributor.authorOdongo, Dilara Uzuner
dc.contributor.authorDíaz-Uriarte, Ramón
dc.contributor.authorConesa, Ana
dc.contributor.authorBontempi, Gianluca
dc.contributor.authorVinga, Susana
dc.contributor.authorGranata, Ilaria
dc.contributor.authorDomingo-Fernández, Daniel
dc.contributor.authorLecca, Paola
dc.contributor.authorKuijjer, Marieke L
dc.contributor.authorKrijthe, Jesse H
dc.contributor.authorKoch, Ina
dc.contributor.authorCalzone, Laurence
dc.contributor.authorRombo, Simona Ester
dc.contributor.authorSánchez-Cabo, Fátima
dc.contributor.authorGlaab, Enrico
dc.date.accessioned2026-10-02T14:26:10Z
dc.date.available2026-10-02T14:26:10Z
dc.date.issued2026-08
dc.description.peerreviewedSí
dc.description.tableofcontentsEG acknowledges funding support by the Luxembourg National Research Fund (FNR) for our lecture series as part of the RESCOM program and for the projects RECAST (INTER/22/17104370/RECAST), AsynIntact (C24/BM/18865990/AsynIntact), PreDYT (INTER/EJP RD22/17027921/PreDYT), AD-PLCG2 (INTER/JPND23/17999421/ADPLCG2), and EPI_T-ALL (INTER/TRANSCAN23/18333087/EPI_T-ALL). FSC acknowledges the Spanish Agency of Research and FEDER Una manera de hacer Europa under grant PID2022-141527OB-I00. RDU acknowledges partial support by grants PID2024-156888OB-I00 and PID2019-111256RB-I00 funded by MCIN/AEI/10.13039/501100011033/FEDER, EU. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.format.number8
dc.format.pagee1014668
dc.format.volume22
dc.identifier.citationPLoS Comput Biol. 2026 Aug 20;22(8):e1014668.
dc.identifier.doi10.1371/journal.pcbi.1014668
dc.identifier.e-issn1553-7358
dc.identifier.journalPLoS computational biology
dc.identifier.pubmedID42623411
dc.identifier.urihttps://hdl.handle.net/20.500.12105/27747
dc.language.isoeng
dc.relation.isreferencedbyPubMed
dc.relation.publisherversion10.1371/journal.pcbi.1014668
dc.repisalud.institucionCNIC
dc.rights.accessRightsopen access
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleTen quick tips for causal analysis of biomedical omics data.
dc.typeresearch article
dc.type.hasVersionVoR
dspace.entity.typePublication

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