Hybridizing sparse component analysis with genetic algorithms for microarray analysis

Neurocomputing

Volumn 71, Issue 10-12, 2008, Pages 2356-2376

  Stadlthanner, K ^a   Theis, F J ^a   Lang, E W ^a   Tome A M ^b   Puntonet, C G ^c   Gorriz J M ^c  

^a UNIVERSITY OF REGENSBURG   (Germany)

^b UNIVERSITY OF AVEIRO   (Portugal)

^c UNIVERSITY OF GRANADA   (Spain)

Author keywords

Blind source separation; Gene microarray analysis; Sparse nonnegative matrix factorization

Indexed keywords

DATA REDUCTION; FACTORIZATION; GENES; GENETIC ALGORITHMS; MATRIX ALGEBRA; MICROARRAYS;

MICROARRAY ANALYSIS; NONNEGATIVE MATRIX FACTORIZATION (NMF);

BLIND SOURCE SEPARATION;

ARTICLE; FACTORIAL ANALYSIS; GENE EXPRESSION; GENETIC ALGORITHM; HUMAN; MATHEMATICAL ANALYSIS; MICROARRAY ANALYSIS; PRIORITY JOURNAL; PROBLEM SOLVING; PSEUDOXANTHOMA ELASTICUM; SIGNAL NOISE RATIO; SIMULATION; STATISTICAL ANALYSIS;

EID: 44649149032     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.09.017     Document Type: Article

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