Author

Daniel Rivas-Barragan

Barcelona Supercomputing CenterORCID 0000-0003-0163-7890Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Daniel Domingo‐FernándéziD· 2 shared Sarah MubeeniD· 2 shared Abhishek PateliD· 1 shared Biswapriya B. MisraiD· 1 shared Chris W. DianaiD· 1 shared David HealeyiD· 1 shared Francesc GuimiD· 1 shared Joe RokickiiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Daniel Domingo‐FernándézORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedFeb 25, 2022

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery

Daniel Domingo‐Fernándéz, Yojana Gadiya, Abhishek Patel…·Viswa Colluru

RPath prioritizes drugs for diseases by analyzing causal paths in knowledge graphs using drug-perturbed and disease-specific transcriptomic signatures, outperforming existing methods.

15 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedDec 2, 2020

Drug2ways: Reasoning over causal paths in biological networks for drug discovery

Daniel Rivas-Barragan, Sarah Mubeen, Francesc Guim…·Daniel Domingo‐Fernándéz

Drug2ways predicts drug candidates by analyzing causal paths in biological networks for disease treatment and drug repositioning.

28 citations

statistical modelmachine learning (classical)

𝕏 PostBluesky