Work

Abstract 2090: Machine learning-derived gene signature predicts strong sensitivity of several solid tumors to the alkylating agent LP-184

Year: 2020

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2020-2090

Authors: Umesh Kathad, Aditya Kulkarni, Jean Philippe Richard, Terri Lehman, Rama Modali, Kishor Bhatia, Panna Sharma, Fathi Elloumi, Yves Pommier, William C. Reinhold

Institutions: ReproCELL (United States), National Institutes of Health, Center for Cancer Research

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3082965943

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Cited by: 1

Related to: 10