Modeling signaling networks using high-throughput phospho-proteomics

Advances in Experimental Medicine and Biology

Volumn 736, Issue , 2012, Pages 19-57

  Terfve, Camille ^a   Saez Rodriguez, Julio ^b  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^b EUROPEAN MOLECULAR BIOLOGY LABORATORY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

PHOSPHOPROTEIN;

ANTIBODY LABELING; ARTICLE; BAYES THEOREM; CELL COMMUNICATION; CLUSTER ANALYSIS; COMPUTER ANALYSIS; DATA COLLECTION METHOD; DATA MINING; DESCRIPTIVE RESEARCH; FLOW CYTOMETRY; FLUORESCENCE ACTIVATED CELL SORTING; HIGH THROUGHPUT SCREENING; LIQUID CHROMATOGRAPHY; MATHEMATICAL MODEL; MICROARRAY ANALYSIS; NETWORK LEARNING; PEPTIDE ANALYSIS; PREDICTIVE VALUE; PRIORITY JOURNAL; PROTEIN PHOSPHORYLATION; PROTEIN PROCESSING; PROTEOMICS; SIGNAL PROCESSING; SIGNAL TRANSDUCTION; TANDEM MASS SPECTROMETRY;

ANIMALS; HUMANS; MODELS, BIOLOGICAL; PHOSPHOPROTEINS; PHOSPHORYLATION; PROTEINS; PROTEOMICS; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY;

EID: 84855921201     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4419-7210-1_2     Document Type: Article

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