Multi-class cancer subtype classification based on gene expression signatures with reliability analysis

FEBS Letters

Volumn 561, Issue 1-3, 2004, Pages 186-190

  Fu, Li M ^a,b,c   Fu Liu, Casey S ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b Pac TB/Cancer Res Organization   (United States)

^c NONE   (United States)

Author keywords

Bioinformatics; Cancer; Classification; Functional genomics; Gene expression; Microarray

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOINFORMATICS; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CONTROLLED STUDY; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; GENOME ANALYSIS; GENOME SIZE; HUMAN; HUMAN CELL; HUMAN TISSUE; LEUKEMIA; NUCLEOTIDE SEQUENCE; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; TECHNIQUE; VALIDATION PROCESS;

ARTIFICIAL INTELLIGENCE; DIAGNOSIS, DIFFERENTIAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; GENES, NEOPLASM; HUMANS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 1542268315     PISSN: 00145793     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0014-5793(04)00175-9     Document Type: Article

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