Training, selection, and robust calibration of retention time models for targeted proteomics

Journal of Proteome Research

Volumn 9, Issue 10, 2010, Pages 5209-5216

  Moruz, Luminita ^a   Tomazela, Daniela ^a   Käll, Lukas ^a,b  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

bioinformatics; peptide identification; retention time prediction; support vector regression; targeted proteomics

Indexed keywords

AMINO ACID COMPOSITION; ARTICLE; CALIBRATION; DATA ANALYSIS SOFTWARE; ELUDE; FUNCTIONAL PROTEOMICS; LIQUID CHROMATOGRAPHY; PRIORITY JOURNAL; RETENTION TIME MODEL; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; CAENORHABDITIS ELEGANS; CAENORHABDITIS ELEGANS PROTEINS; CALIBRATION; CHROMATOGRAPHY, LIQUID; INTERNET; MASS SPECTROMETRY; MODELS, THEORETICAL; PROTEOMICS; REPRODUCIBILITY OF RESULTS; SOFTWARE; TIME FACTORS;

EID: 77957344062     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr1005058     Document Type: Article

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