Author

Neel S. Madhukar

ORCID 0000-0002-2907-2062Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Neel S. Madhukar1 paper

Biology Disciplines

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Pharmacology & Toxicology· 1

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

Frequent Co-Authors

Coryandar Gilvary· 1 shared Kaitlyn Gayvert· 1 shared Olivier ElementoiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperPharmacology & Toxicology

Coryandar Gilvary

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1 paper

Recent·Most cited

A Machine Learning Approach Predicts Tissue-Specific Drug Adverse Events

Neel S. Madhukar, Kaitlyn Gayvert, Coryandar Gilvary, Olivier Elemento

MAESTER predicts tissue-specific drug adverse events by integrating compound structure, targets, phenotypic effects, and genomic data, achieving high accuracy and identifying previously unknown adverse events.

bioRxiv · Mar 24, 2018 · PreprintPharmacology & Toxicology