A statistical model to identify differentially expressed proteins in 2D PAGE gels

PLoS Computational Biology

Volumn 5, Issue 9, 2009, Pages

  Wu, Steven H ^a,b   Black, Michael A ^c   North, Robyn A ^a   Atkinson, Kelly R ^b   Rodrigo, Allen G ^a,b  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; ELECTROPHORESIS; MAXIMUM LIKELIHOOD ESTIMATION; MIXTURES; STATISTICS;

2D-PAGE; BIO-MARKER DISCOVERY; CLASSIFIEDS; EXPRESSION INTENSITIES; LIMIT OF DETECTION; MAXIMUM-LIKELIHOOD ESTIMATE; MIXTURE MODELING; STANDARD STATISTICAL TECHNIQUES; STATISTIC MODELING; TWO-DIMENSIONAL POLYACRYLAMIDE GEL ELECTROPHORESIS (2D-PAGE);

PROTEINS;

BIOLOGICAL MARKER; PROTEIN;

ARTICLE; CLINICAL ARTICLE; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; FEMALE; HUMAN; MAXIMUM LIKELIHOOD METHOD; PROBABILITY; PROTEIN ANALYSIS; PROTEIN EXPRESSION; SIMULATION; STATISTICAL MODEL; TWO DIMENSIONAL GEL ELECTROPHORESIS; ALGORITHM; ANALYSIS OF VARIANCE; BIOLOGICAL MODEL; COMPUTER SIMULATION; METABOLISM; METHODOLOGY; PREECLAMPSIA; PREGNANCY; PROTEOMICS; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; ELECTROPHORESIS, GEL, TWO-DIMENSIONAL; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PRE-ECLAMPSIA; PREGNANCY; PROTEINS; PROTEOMICS; SENSITIVITY AND SPECIFICITY;

EID: 70349694138     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000509     Document Type: Article

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