Incorporating biological knowledge into evaluation of causal regulatory hypotheses.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Volumn , Issue , 2003, Pages 128-139

  Chrisman, Lonnie ^a   Langley, Pat ^a   Bay, Stephen ^a   Pohorille, Andrew ^a  

^a Institute for the Study of Learning and Expertise   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MITOGEN ACTIVATED PROTEIN KINASE; PROTEIN C JUN; STRESS ACTIVATED PROTEIN KINASE 1;

ALGORITHM; ANIMAL; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BIOLOGY; EVALUATION; HUMAN; METABOLISM; MOUSE; SIGNAL TRANSDUCTION; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; BAYES THEOREM; COMPUTATIONAL BIOLOGY; HUMANS; MAP KINASE SIGNALING SYSTEM; MICE; MITOGEN-ACTIVATED PROTEIN KINASE 8; MITOGEN-ACTIVATED PROTEIN KINASES; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PROTO-ONCOGENE PROTEINS C-JUN;

EID: 0042128797     PISSN: None     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (0)