Author

Coryandar Gilvary

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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

Kaitlyn Gayvert· 1 shared Neel S. MadhukariD· 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

Kaitlyn Gayvert

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1 paper

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintMar 24, 2018

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.

DOI 10.1101/288332

machine learning (classical)drug response / drug discovery

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