Author

Émilie Chouzenoux

Institut national de recherche en sciences et technologies du numériqueORCID 0000-0003-3631-6093Unclaimed 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:matrix factorization· 2 Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Angshul MajumdariD· 2 shared Aanchal MongiaiD· 1 shared Kriti KumariD· 1 shared Stuti JainiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Angshul MajumdarORCID

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2 papers

Recent·Most cited

BioinformaticsIEEE Journal of Biomedical and Health InformaticsPeer-reviewedFeb 17, 2023

Graph Regularized Probabilistic MatrixFactorization for Drug-Drug Interactions Prediction

Stuti Jain, Émilie Chouzenoux, Kriti Kumar, Angshul Majumdar

This paper introduces a graph-regularized probabilistic matrix factorization method for predicting drug-drug interactions and shows it outperforms existing techniques on the DrugBank dataset.

36 citationstop 3%

matrix factorizationstatistical model

𝕏 PostBluesky

BioinformaticsIEEE Transactions on Computational Biology and BioinformaticsPeer-reviewedJul 11, 2022

Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion

Aanchal Mongia, Émilie Chouzenoux, Angshul Majumdar

This paper predicts drug-disease associations using a graph-regularized one-bit matrix completion framework, showing superior performance over existing methods.

33 citations

matrix factorizationdrug response / drug discovery

𝕏 PostBluesky