Author

Xin Liu

Novartis (China)ORCID 0000-0002-8272-9553Unclaimed ORCID profile · follow to get notified of new preprints

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Xin Liu16 papers · BGI Group (China)

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

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Éric MartiniD· 1 shared Li TianiD· 1 shared Prasenjit K. MukherjeeiD· 1 shared Valery R. PolyakoviD· 1 shared Xiang‐Wei ZhuiD· 1 shared

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2019-2019 · peak 1/yr

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Éric MartinORCID

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1 paper

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedSep 13, 2019

All-Assay-Max2 pQSAR: Activity predictions as accurate as 4-concentration IC50s for 8,558 Novartis assays

Éric Martin, Valery R. Polyakov, Xiang‐Wei Zhu…·Xin Liu

The paper introduces All-Assay-Max2 pQSAR, a multi-task machine learning method that achieves IC50 prediction accuracy comparable to 4-concentration experiments across 8,558 Novartis assays.

85 citationstop 2%

machine learning (classical)drug response / drug discovery

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