Gene Ontology analysis in multiple gene clusters under multiple hypothesis testing framework

Artificial Intelligence in Medicine

Volumn 41, Issue 2, 2007, Pages 105-115

  Zhong, Sheng ^a,b,c   Xie, Dan ^a  

^a University of Illinois at Urbana Champaign   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c University of Illinois at Urbana Champaign   (United States)

Author keywords

False discovery rate; Gene cluster; Gene Ontology; GoSurfer; Multiple hypothesis testing

Indexed keywords

FUNCTIONAL ANALYSIS; ONTOLOGY; PROBLEM SOLVING; STATISTICAL METHODS;

FALSE DISCOVERY RATE; GENE CLUSTERS; GENE ONTOLOGY; MULTIPLE HYPOTHESIS TESTING;

GENETIC ENGINEERING;

ACCURACY; AMINO ACID METABOLISM; ARTICLE; CELL ADHESION; CELL DIFFERENTIATION; COMPARATIVE GENOMIC HYBRIDIZATION; COMPUTER PROGRAM; CONCEPTUAL FRAMEWORK; CORRELATION ANALYSIS; DOWN REGULATION; EMBRYONIC STEM CELL; GENE CLUSTER; GENE EXPRESSION; GENE FUNCTION; GENETIC ANALYSIS; HUMAN; HYPOTHESIS; MUSCLE CONTRACTION; PRIORITY JOURNAL; RNA PROCESSING; RNA TRANSPORT; STATISTICAL ANALYSIS; UPREGULATION;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; DATABASES, GENETIC; GENE REGULATORY NETWORKS; HUMANS; INFORMATION SYSTEMS; MULTIGENE FAMILY; RESEARCH DESIGN; SOFTWARE; SYSTEMS BIOLOGY;

EID: 34948851346     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2007.08.002     Document Type: Article

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