Work

cTAP: A Machine Learning Framework for Predicting Target Genes of a Transcription Factor using a Cohort of Gene Expression Data Sets

Year: 2020

Type: conference-paper

Source: IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI: 10.1109/bibm49941.2020.9313303

Authors: Honglin Wang, Pujan Joshi, Seung-Hyun Hong, Peter F. Maye, David W. Rowe, Dong-Guk Shin

Institutions: University of Connecticut, UConn Health

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3128668794

FWCI: 2.209

Cites: 12

Cited by: 3

Related to: 10