Efficient generalized matrix approximations for biomarker discovery and visualization in gene expression data.

Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference

Volumn , Issue , 2006, Pages 133-144

  Li, Wenyuan ^a   Peng, Yanxiong ^a   Huang, Hung Chung ^a   Liu, Ying ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; TUMOR MARKER;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; CLUSTER ANALYSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENOMICS; HUMAN; LUPUS VULGARIS; METABOLISM; METHODOLOGY; STATISTICAL MODEL; TUMOR CELL LINE;

ALGORITHMS; BIOLOGICAL MARKERS; CELL LINE, TUMOR; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE EXPRESSION REGULATION, LEUKEMIC; GENOMICS; HUMANS; LUPUS; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; TUMOR MARKERS, BIOLOGICAL;

MLCS; MLOWN;

EID: 34250809535     PISSN: 17527791     EISSN: None     Source Type: Journal    
DOI: 10.1142/18609475730023     Document Type: Article

References (0)