Author

Yunlong Jiao

InsermORCID 0000-0002-0776-0550Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Jean‐Philippe VertiD· 2 shared Alicia AmadoziD· 1 shared Cankut ÇubukiD· 1 shared Elsa BernardiD· 1 shared Erwan ScornetiD· 1 shared Joaquı́n DopazoiD· 1 shared José Carbonell‐CaballeroiD· 1 shared Marta R. HidalgoiD· 1 shared

Activity by Year

2017-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Jean‐Philippe VertORCID

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2 papers

Recent·Most cited

Kernel multitask regression for toxicogenetics

Elsa Bernard, Yunlong Jiao, Erwan Scornet, Véronique Stoven, Thomas Walter, Jean‐Philippe Vert

This paper introduces kernel multitask regression to predict compound toxicity on cell lines using chemical and genetic data, achieving strong performance on a benchmark challenge.

Molecular Informatics · Sep 26, 2017Peer-reviewedBioinformatics

Signaling Pathway Activities Improve Prognosis for Breast Cancer

Yunlong Jiao, Marta R. Hidalgo, Cankut Çubuk, Alicia Amadoz, José Carbonell‐Caballero, Jean‐Philippe Vert, Joaquı́n Dopazo

This study shows that signaling pathway activities are better predictors of breast cancer prognosis than gene-level features and identify additional genes contributing to prognosis beyond pathway analysis.

bioRxiv · Apr 29, 2017 · PreprintBioinformatics