Tumor classification based on non-negative matrix factorization using gene expression data

IEEE Transactions on Nanobioscience

Volumn 10, Issue 2, 2011, Pages 86-93

  Zheng, Chun Hou ^a,b   Ng, To Yee ^b   Zhang, Lei ^b   Shiu, Chi Keung ^b   Wang, Hong Qiang ^c  

^a ANHUI UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c INSTITUTE OF INTELLIGENT MACHINES   (China)

Author keywords

Gene expression data; gene selection; nonnegative matrix factorization; tumor classification

Indexed keywords

GENE EXPRESSION DATA; GENE SELECTION; MICROARRAY DATA SETS; NONNEGATIVE MATRIX FACTORIZATION; TUMOR CLASSIFICATION; TUMOR SAMPLES;

BLIND SOURCE SEPARATION; EXTRACTION; FACTORIZATION; FEATURE EXTRACTION; GENE EXPRESSION; SUPPORT VECTOR MACHINES; TUMORS;

MATRIX ALGEBRA;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CLASSIFICATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; HUMAN; METABOLISM; METHODOLOGY; NEOPLASM; REPRODUCIBILITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION PROFILING; HUMANS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 80051776578     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2011.2144998     Document Type: Article

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