Author

Jaimit Parikh

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Pharmacology & Toxicology· 1

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Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

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James KozloskiiD· 1 shared Paolo Di AchilleiD· 1 shared Viatcheslav GureviD· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperPharmacology & Toxicology

James KozloskiORCID

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1 paper

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Pharmacology & ToxicologybioRxivPreprintApr 16, 2019

Intrinsic structure of model-derived metrics for in silico proarrhytmic risk assessment identified by global sensitivity analysis

Jaimit Parikh, Paolo Di Achille, James Kozloski, Viatcheslav Gurev

This paper uses global sensitivity analysis to evaluate model-derived metrics for predicting drug-induced TdP risk, finding that these metrics are not strongly correlated with EAD generation and can be explained by direct features.

DOI 10.1101/543926

statistical modeldrug response / drug discovery

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