Identifying subset of genes that have influential impacts on cancer progression: A new approach to analyze cancer microarray data

Functional and Integrative Genomics

Volumn 8, Issue 4, 2008, Pages 361-373

  Shi, Mingyu ^a   Ma, Shuangge ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b YALE UNIVERSITY   (United States)

Author keywords

Cancer microarray study; Clustering; Gene selection

Indexed keywords

COMPLEMENTARY DNA;

ARTICLE; CANCER RESEARCH; CANCER SURVIVAL; CARCINOGENESIS; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; DNA HYBRIDIZATION; DNA MICROARRAY; GENE CLUSTER; GENE CONSTRUCT; GENE EXPRESSION; GENE FUNCTION; GENE IDENTIFICATION; GENETIC ALGORITHM; GENETIC SELECTION; HUMAN; LARGE CELL LYMPHOMA; MAJOR CLINICAL STUDY; MANTLE CELL LYMPHOMA; MICROARRAY ANALYSIS; PRIORITY JOURNAL; STATISTICAL MODEL;

DISEASE PROGRESSION; GENE EXPRESSION PROFILING; HUMANS; MULTIGENE FAMILY; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SURVIVAL ANALYSIS;

EID: 52349110916     PISSN: 1438793X     EISSN: 14387948     Source Type: Journal    
DOI: 10.1007/s10142-008-0084-9     Document Type: Article

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