Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes

BMC Systems Biology

Volumn 7, Issue , 2013, Pages

  Williams DeVane, ClarLynda R ^a,c   Reif, David M ^a,d   Cohen Hubal, Elaine ^a   Bushel, Pierre R ^b   Hudgens, Edward E ^a   Gallagher, Jane E ^a   Edwards, Stephen W ^a  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

^c NORTH CAROLINA CENTRAL UNIVERSITY   (United States)

^d NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Asthma; Endotypes; Gene Expression; Integrated analysis

Indexed keywords

ADOLESCENT; ARTICLE; ASTHMA; BIOLOGY; BLOOD; CHILD; CLUSTER ANALYSIS; DECISION TREE; DEMOGRAPHY; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION; GENETICS; HUMAN; METHODOLOGY;

ADOLESCENT; ASTHMA; CHILD; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DECISION TREES; DEMOGRAPHY; GENE EXPRESSION PROFILING; GENOME-WIDE ASSOCIATION STUDY; HUMANS;

EID: 84886735083     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/1752-0509-7-119     Document Type: Article

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