Coryandar Gilvary

A machine learning and network framework to discover new indications for small molecules

Coryandar Gilvary, Jamal Elkhader, Neel Madhukar, 2019, bioRxiv.

Multi-task learning predicts drug combination synergy in cells and in the clinic

Coryandar Gilvary, Olivier Elemento, Jonathan R. Dry, 2019, bioRxiv.

A machine learning and network framework to discover new indications for small molecules

Coryandar Gilvary, Jamal Elkhader, Neel Madhukar, 2020, PLoS computational biology.

Graph convolutional networks for computational drug development and discovery

Jiayu Zhou, Fei Wang, Sendong Zhao, 2019, Briefings Bioinform..

A machine learning approach predicts essential genes and pharmacological targets in cancer

Gaurav Pandey, Coryandar Gilvary, Neel Madhukar, 2019, bioRxiv.

Abstract 682: Drug repurposing engine fueled by diverse drug similarity data

Coryandar Gilvary, Jamal Elkhader, Neel Madhukar, 2019 .

Abstract 220: Identifying novel oncology targets and positioning existing targets through the prediction of cancer dependencies

Coryandar Gilvary, Neel Madhukar, Olivier Elemento, 2021, Bioinformatics and Systems Biology.

Abstract 395: Prediction of genomic based drug sensitivity signatures to enable optimal drug positioning

Coryandar Gilvary, Neel Madhukar, Olivier Elemento, 2021, Clinical Research (Excluding Clinical Trials).

A Machine Learning Approach Predicts Tissue-Specific Drug Adverse Events

Coryandar Gilvary, Neel Madhukar, Kaitlyn Gayvert, 2018, bioRxiv.