GENESHIFT: a nonparametric approach for integrating microarray gene expression data based on the inner product as a distance measure between the distributions of genes.

IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM

Volumn 10, Issue 2, 2013, Pages 383-392

  Lazar, Cosmin ^a   Taminau, Jonatan ^b   Meganck, Stijn ^b   Steenhoff, David ^b   Coletta, Alain ^b   Solís, David Y Weiss ^b   Molter, Colin ^b   Duque, Robin ^b   Bersini, Hugues ^b   Nowé, Ann ^b  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; COMPUTER PROGRAM; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETIC DATABASE; HUMAN; NONPARAMETRIC TEST; PROCEDURES; REPRODUCIBILITY; STATISTICAL MODEL; TISSUE MICROARRAY;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, GENETIC; GENE EXPRESSION PROFILING; HUMANS; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SOFTWARE; STATISTICS, NONPARAMETRIC; TISSUE ARRAY ANALYSIS;

EID: 84894638720     PISSN: None     EISSN: 15579964     Source Type: Journal    
DOI: 10.1109/tcbb.2013.12     Document Type: Article

References (0)