Work

Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets

Year: 2017

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.6b00753

Authors: Richard L. Marchese Robinson, Anna Palczewska, Jan Palczewski, Nathan Kidley

Institutions: Syngenta (United Kingdom), Liverpool John Moores University, University of Bradford, University of Leeds

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Drug Discovery

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

Open Access status: closed

OpenAlex ID: W2736101782

FWCI: 4.067

Cites: 67

Cited by: 168

Related to: 10