A framework to identify physiological responses in microarray-based gene expression studies: Selection and interpretation of biologically relevant genes

Physiological Genomics

Volumn 33, Issue 1, 2008, Pages 78-90

  Rodenburg, Wendy ^a,b,c   Heidema, A Geert ^b,d,e   Boer, Jolanda M A ^d   Bovee Oudenhoven, Ingeborg M J ^a,c   Feskens, Edith J M ^b   Mariman, Edwin C M ^e   Keijer, Jaap ^a,b  

^a TOP INSTITUTE FOOD AND NUTRITION   (Netherlands)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c NIZO FOOD RESEARCH   (Netherlands)

^d NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

^e MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Biological processes; Gene selection; Random forest; t test; Transcriptomics

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; GENE EXPRESSION; GENE INTERACTION; GENETIC ANALYSIS; GENETIC SELECTION; GENOME ANALYSIS; MICROARRAY ANALYSIS; NONHUMAN; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; RANDOM FOREST; RAT; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE;

ADAPTATION, PHYSIOLOGICAL; ALGORITHMS; ANIMALS; AUTOMATIC DATA PROCESSING; CECUM; CLUSTER ANALYSIS; COLON; DATA INTERPRETATION, STATISTICAL; DIETARY SUCROSE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; GENOME; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RATS; RATS, WISTAR; SIGNAL TRANSDUCTION;

RATTUS;

EID: 41349116565     PISSN: 10948341     EISSN: 15312267     Source Type: Journal    
DOI: 10.1152/physiolgenomics.00167.2007     Document Type: Article

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