Work

Learning expressive computational models of gene regulatory sequences and responses

Year: 2007

Type: article

Authors: Mark Craven, Keith Noto

Institution: University of Wisconsin–Madison

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

OpenAlex ID: W2529425517

FWCI:

Cites: 120

Cited by:

Related to: 10