Work

Supervised learning methods to infer metabolic network using sequence and non-sequence kernels

Year: 2013

Type: article

Source: F1000Research

DOI: 10.7490/f1000research.1094015.1

Authors: Abiel Roche-Lima, Michael Domaratzki, Brian Fristensky

Language: English

Topic: Microbial Metabolic Engineering and Bioproduction

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $1,350

OpenAlex ID: W2287378245

FWCI: 0.149

Cites:

Cited by: 1

Related to: 10