Peptide charge state determination for low-resolution tandem mass spectra

Proceedings - 2005 IEEE Computational Systems Bioinformatics Conference, CSB 2005

Volumn 2005, Issue , 2005, Pages 175-188

  Klammer, Aaron A ^a   MacCoss, Michael J ^a   Wu, Christine C ^b   Noble, William Stafford ^a  

^a Box 357730 ^*  (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

Charge state; Machine learning; Mass spectrometry, proteomics; Support vector machine

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SOFTWARE; DATABASE SYSTEMS; LEARNING SYSTEMS; MASS SPECTROMETERS; ROBUSTNESS (CONTROL SYSTEMS); VECTORS;

CHARGE STATE; CHARGED SPECTRA; PROTEOMICS; SUPPORT VECTOR MACHINE (SVM);

PROTEINS;

PEPTIDE;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHEMICAL MODEL; CHEMISTRY; COMPUTER SIMULATION; ELECTRICITY; EVALUATION; MASS SPECTROMETRY; METHODOLOGY; PEPTIDE MAPPING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ELECTROSTATICS; MASS SPECTROMETRY; MODELS, CHEMICAL; PATTERN RECOGNITION, AUTOMATED; PEPTIDE MAPPING; PEPTIDES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN;

EID: 26844432728     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSB.2005.44     Document Type: Conference Paper

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