Relative expression analysis for molecular cancer diagnosis and prognosis

Technology in Cancer Research and Treatment

Volumn 9, Issue 2, 2010, Pages 149-159

  Eddy, James A ^a,b   Sung, Jaeyun ^a   Geman, Donald ^d   Price, Nathan D ^a,c  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d Johns Hopkins University   (United States)

Author keywords

Classification; Computational biology; Microarray analysis; Relative expression

Indexed keywords

TRANSCRIPTOME;

BIOLOGY; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CANCER GROWTH; CANCER SURVIVAL; CLINICAL ASSESSMENT; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; GASTROINTESTINAL STROMAL TUMOR; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETIC ANALYSIS; HIGH THROUGHPUT SCREENING; HUMAN; LEIOMYOSARCOMA; METABOLOMICS; METASTASIS; MICROARRAY ANALYSIS; PHENOTYPE; PREDICTIVE VALIDITY; PROGNOSIS; PROTEOMICS; REVIEW;

EID: 77952044484     PISSN: 15330346     EISSN: None     Source Type: Journal    
DOI: 10.1177/153303461000900204     Document Type: Review

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