Statistics for proteomics: A review of tools for analyzing experimental data

Proteomics

Volumn 1, Issue 1-2 SUPPL., 2006, Pages 48-55

  Urfer, Wolfgang ^a   Grzegorczyk, Marco ^a   Jung, Klaus ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

PHOSPHOLIPID; PROTEIN DERIVATIVE; MITOGEN ACTIVATED PROTEIN KINASE; PROTEIN;

CONFERENCE PAPER; EXPERIMENTAL STUDY; FLOW CYTOMETRY; GENE CLUSTER; HUMAN; INFORMATION PROCESSING; MASS SPECTROMETRY; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN EXPRESSION; PROTEIN PHOSPHORYLATION; PROTEOMICS; ROC CURVE; STATISTICAL ANALYSIS; TWO DIMENSIONAL ELECTROPHORESIS; CLASSIFICATION; GENE EXPRESSION PROFILING; ISOTOPE LABELING; LABORATORY DIAGNOSIS; METHODOLOGY; PROBABILITY; REVIEW; TWO DIMENSIONAL GEL ELECTROPHORESIS;

DATA INTERPRETATION, STATISTICAL; ELECTROPHORESIS, GEL, TWO-DIMENSIONAL; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; GENE EXPRESSION PROFILING; ISOTOPE LABELING; MASS SPECTROMETRY; MITOGEN-ACTIVATED PROTEIN KINASES; PROBABILITY; PROTEINS; PROTEOMICS;

EID: 33750362838     PISSN: 16159853     EISSN: 16159861     Source Type: Journal    
DOI: 10.1002/pmic.200600554     Document Type: Conference Paper

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