A unified framework for finding differentially expressed genes from microarray experiments

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Shaik, Jahangheer S ^a   Yeasin, Mohammed ^a,b,c  

^a University of Memphis   (United States)

^b University of Memphis   (United States)

^c UNIVERSITY OF MEMPHIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENT DISTRIBUTIONS; DIFFERENTIALLY EXPRESSED GENE; FALSE DISCOVERY RATE; GENE SELECTION ALGORITHMS; MICROARRAY DATA SETS; MICROARRAY EXPERIMENTS; SIGNIFICANCE ANALYSIS; SIGNIFICANCE ANALYSIS OF MICROARRAYS;

CLUSTERING ALGORITHMS; DATA REDUCTION; DISEASES; EXPERIMENTS; MICROARRAYS; SCALABILITY; STATISTICAL TESTS; VISUALIZATION;

GENES;

ACCURACY; ARTICLE; BIOINFORMATICS; CANCER GENETICS; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA BASE; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ALGORITHM; INFORMATION PROCESSING; INTERMETHOD COMPARISON; LEUKEMIA; PARKINSON DISEASE; PERFORMANCE; SIMULATION; STATISTICAL SIGNIFICANCE; STOMACH CANCER; VALIDATION PROCESS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; GENE EXPRESSION PROFILING; METHODOLOGY;

ALGORITHMS; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED;

EID: 36849048894     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-347     Document Type: Article

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