Author

Sepehr Golriz Khatami

University of BonnORCID 0000-0002-7606-5228Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alpha Tom KodamulliliD· 1 shared Daniel Domingo‐FernándéziD· 1 shared Martin Hofmann‐ApitiusiD· 1 shared Sarah MubeeniD· 1 shared Vinay Srinivas BharadhwajiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Alpha Tom KodamullilORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintDec 6, 2020

Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures

Sepehr Golriz Khatami, Sarah Mubeen, Vinay Srinivas Bharadhwaj…·Daniel Domingo‐Fernándéz

This paper uses predictive machine learning models to simulate drug responses by calibrating patient-specific pathway signatures, identifying potential drugs and mechanisms for three cancers.

1 citation

humanproteomics

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