Parsimonious selection of useful genes in microarray gene expression data

Advances in Experimental Medicine and Biology

Volumn 696, Issue , 2011, Pages 45-55

  González Navarro, Félix F ^a   Belanche Muñoz, Lluís A ^a  

^a NONE

Author keywords

Biological data mining and knowledge discovery; Cancer informatics; Gene expression analysis; Tools and methods for computational biology and bioinformatics

Indexed keywords

ACCURACY; BAYES THEOREM; BIOINFORMATICS; BOOTSTRAPPING; BREAST CANCER; CANCER CLASSIFICATION; CLASSIFIER; COLON TUMOR; CONFERENCE PAPER; DISCRIMINANT ANALYSIS; ENTROPY; GENE EXPRESSION PROFILING; GENETIC ANALYSIS; GENETIC SELECTION; LEUKEMIA; LOGISTIC REGRESSION ANALYSIS; LUNG CANCER; MACHINE LEARNING; MATHEMATICAL COMPUTING; METHODOLOGY; MICROARRAY ANALYSIS; NUCLEOTIDE SEQUENCE; PARSIMONY ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROSTATE CANCER; RANK SUM TEST; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CLASSIFICATION; DATA MINING; DIFFERENTIAL DIAGNOSIS; DNA MICROARRAY; FEMALE; GENETIC DATABASE; GENETICS; HUMAN; MALE; NEOPLASM; STATISTICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, GENETIC; DIAGNOSIS, DIFFERENTIAL; FEMALE; GENE EXPRESSION PROFILING; HUMANS; MALE; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 79957978076     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4419-7046-6_5     Document Type: Conference Paper

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