Work

Predicting drug–target interactions from chemical and genomic kernels using Bayesian matrix factorization

Year: 2012

Type: article

Source: Bioinformatics

DOI: 10.1093/bioinformatics/bts360

Author: Mehmet Gönen

Institutions: Helsinki Institute for Information Technology, Aalto University

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: closed

OpenAlex ID: W2135007932

FWCI: 6.38

Cites: 37

Cited by: 388

Related to: 10