Using mechanistic Bayesian networks to identify downstream targets of the Sonic Hedgehog pathway

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Shah, Abhik ^a   Tenzen, Toyoaki ^b,c   McMahon, Andrew P ^c,d,e   Woolf, Peter J ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL CANCER CENTER   (United States)

^c HARVARD STEM CELL INSTITUTE   (United States)

^d Harvard University   (United States)

^e HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORK LEARNING; BIOLOGICAL PATHWAYS; DEVELOPMENTAL STAGE; DOWNSTREAM TARGET; GENE EXPRESSION DATA; GENETIC BACKGROUNDS; REGULATORY PATHWAY; TOPOLOGY INFORMATION;

GENE EXPRESSION;

BAYESIAN NETWORKS;

ERINACEIDAE;

SONIC HEDGEHOG PROTEIN;

ARTICLE; BAYES THEOREM; BIOLOGY; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; METABOLISM; METHODOLOGY; SIGNAL TRANSDUCTION;

BAYES THEOREM; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HEDGEHOG PROTEINS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SIGNAL TRANSDUCTION;

EID: 75149168911     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-433     Document Type: Article

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