Double feature selection and cluster analyses in mining of microarray data from cotton

BMC Genomics

Volumn 9, Issue , 2008, Pages

  Alabady, Magdy S ^a   Youn, Eunseog ^b   Wilkins, Thea A ^a  

^a TEXAS TECH UNIVERSITY   (United States)

^b Department of Electrical and Computer Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTOME;

ARTICLE; BIOINFORMATICS; CLUSTER ANALYSIS; CONTROLLED STUDY; COTTON; DATA MINING; DEVELOPMENTAL STAGE; DNA MICROARRAY; GENE CONTROL; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC TRANSCRIPTION; MORPHOGENESIS; MORPHOLOGICAL TRAIT; NONHUMAN; PHENOTYPE; PLANT CELL; PLANT DEVELOPMENT; PLANT GENETICS; SPECIES DIFFERENCE; CLASSIFICATION; GENE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; GROWTH, DEVELOPMENT AND AGING; STATISTICAL ANALYSIS; STATISTICS;

GOSSYPIUM HIRSUTUM; PIMA;

CLUSTER ANALYSIS; COTTON FIBER; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, DEVELOPMENTAL; GENE EXPRESSION REGULATION, PLANT; GENES, PLANT; GOSSYPIUM; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SPECIES SPECIFICITY;

EID: 46149102513     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-9-295     Document Type: Article

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