Improved sub-cellular resolution via simultaneous analysis of organelle proteomics data across varied experimental conditions

Proteomics

Volumn 10, Issue 23, 2010, Pages 4213-4219

  Trotter, Matthew W B ^a   Sadowski, Pawel G ^b   Dunkley, Tom P J ^b   Groen, Arnoud J ^b   Lilley, Kathryn S ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Bioinformatics; Organelle proteomics; Protein localisation; Statistical models; Support vector machines

Indexed keywords

CELL PROTEIN; PROTEOME;

ANALYTIC METHOD; ARTICLE; CELL MEMBRANE; CELL ORGANELLE; CELL STRUCTURE; CELL VACUOLE; CELLULAR DISTRIBUTION; CLASSIFICATION ALGORITHM; DENSITY GRADIENT; ENDOPLASMIC RETICULUM; EXPERIMENTAL STUDY; GOLGI COMPLEX; LOCALISATION OF ORGANELLE PROTEINS BY ISOTOPE TAGGING; MITOCHONDRION; NONLINEAR SYSTEM; OUTCOME VARIABLE; PARTIAL LEAST SQUARES REGRESSION; PATTERN RECOGNITION; PLASTID; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN INTERACTION; PROTEIN LOCALIZATION; PROTEOMICS; SUPPORT VECTOR MACHINE;

ALGORITHMS; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; LEAST-SQUARES ANALYSIS; ORGANELLES; PRINCIPAL COMPONENT ANALYSIS; PROTEOME; PROTEOMICS;

EID: 78649680828     PISSN: 16159853     EISSN: 16159861     Source Type: Journal    
DOI: 10.1002/pmic.201000359     Document Type: Article

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