Work

Monte-Carlo methods for determining optimal number of significant variables. Application to mouse urinary profiles

Year: 2009

Type: article

Source: Metabolomics

DOI: 10.1007/s11306-009-0164-4

Authors: Kanet Wongravee, Gavin R. Lloyd, John Hall, Maria E. Holmboe, Michele L. Schaefer, Randall R. Reed, Jose Trevejo, Richard G. Brereton

Institutions: University of Bristol, Draper Laboratory, Johns Hopkins University

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funder: Army Research Office

OpenAlex ID: W2067032815

FWCI: 1.336

Cites: 53

Cited by: 22

Related to: 10