Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data

BMC Bioinformatics

Volumn 12, Issue SUPPL.5, 2011, Pages

  Kong, Wei ^a   Mou, Xiaoyang ^b   Hu, Xiaohua ^c  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c Drexel University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA MICROARRAY GENE EXPRESSION DATUM; DNA MICROARRAY TECHNOLOGY; HIGH-DIMENSIONAL DATA SPACE; INDEPENDENT COMPONENT ANALYSIS(ICA); MICROARRAY GENE EXPRESSION; MICROARRAY GENE EXPRESSION DATA; NONNEGATIVE MATRIX FACTORIZATION; UNSUPERVISED MACHINE LEARNING;

ACTIVATION ANALYSIS; COMPLEX NETWORKS; DATA REDUCTION; DESIGN OF EXPERIMENTS; DIAGNOSIS; GENE EXPRESSION; INDEPENDENT COMPONENT ANALYSIS; KNOWLEDGE BASED SYSTEMS; MATRIX ALGEBRA; NEURODEGENERATIVE DISEASES;

GENE THERAPY;

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETIC DATABASE; GENETICS; HIPPOCAMPUS; HUMAN; METABOLISM; METHODOLOGY;

ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HIPPOCAMPUS; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 79960735240     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-S5-S7     Document Type: Article

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