Re-Fraction: A machine learning approach for deterministic identification of protein homologues and splice variants in large-scale MS-based proteomics

Journal of Proteome Research

Volumn 11, Issue 5, 2012, Pages 3035-3045

  Yang, Pengyi ^a,b,c   Humphrey, Sean J ^c   Fazakerley, Daniel J ^c   Prior, Matthew J ^c   Yang, Guang ^c   James, David E ^c   Yang, Jean Yee Hwa ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c GARVAN INSTITUTE OF MEDICAL RESEARCH   (Australia)

Author keywords

Isoforms; Machine learning; Mass spectrometry; Protein homologues; Protein Inference; Proteomics; Splice variants

Indexed keywords

ARTICLE; MACHINE LEARNING; MASS SPECTROMETRY; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN PROCESSING; PROTEOMICS;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; ELECTROPHORESIS, POLYACRYLAMIDE GEL; MASS SPECTROMETRY; MICE; MODELS, MOLECULAR; PEPTIDES; PROTEIN ISOFORMS; PROTEOME; PROTEOMICS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEQUENCE HOMOLOGY, AMINO ACID; SOFTWARE;

EID: 84860643954     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr300072j     Document Type: Article

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