Work

A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials

Year: 2016

Type: article

Source: Cell chemical biology

DOI: 10.1016/j.chembiol.2016.07.023

Authors: Kaitlyn M. Gayvert, Neel S. Madhukar, Olivier Elemento

Institutions: Memorial Sloan Kettering Cancer Center, Cornell University, Weill Cornell Medicine

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Drug Discovery

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, Pharmaceutical Research and Manufacturers of America Foundation, NIH Office of the Director, National Cancer Institute

Awards: The identification and validation of mechanisms and biomarkers for relapse in diffuse large B-cell lymphoma, CAREER: Computational methods for interpreting epigenomics datasets, G7810749279, Cancer Center Support Grant

OpenAlex ID: W2461620095

FWCI: 3.913

Cites: 30

Cited by: 315

Related to: 10