Learning signaling network structures with sparsely distributed data

Journal of Computational Biology

Volumn 16, Issue 2, 2009, Pages 201-212

  Sachs, Karen ^a   Itani, Solomon ^b   Carlisle, Jennifer ^b   Nolan, Garry P ^a   Pe'er, Dana ^d   Lauffenburger, Douglas A ^c  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Department of Electrical Engineering and Computer Science   (United States)

^c USA   (United States)

^d Howard Hughes Medical Institute   (United States)

Author keywords

Bayesian networks; Flow cytometry; Graphical models; Proteomics signaling path ways

Indexed keywords

CYCLIC AMP DEPENDENT PROTEIN KINASE; MITOGEN ACTIVATED PROTEIN KINASE; MITOGEN ACTIVATED PROTEIN KINASE KINASE; PHOSPHATIDYLINOSITOL 3,4,5 TRISPHOSPHATE; PHOSPHATIDYLINOSITOL 4,5 BISPHOSPHATE; PHOSPHOLIPASE; PROTEIN KINASE B; PROTEIN KINASE C; PROTEIN PLC GAMMA; RAF PROTEIN; STRESS ACTIVATED PROTEIN KINASE; SYNAPTOPHYSIN; UNCLASSIFIED DRUG;

ALGORITHM; ARTICLE; FLOW CYTOMETRY; PRIORITY JOURNAL; PROBABILITY; PROTEOMICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; FLOW CYTOMETRY; MARKOV CHAINS; MODELS, BIOLOGICAL; SIGNAL TRANSDUCTION;

EID: 59649098900     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2008.07TT     Document Type: Article

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