The impact of sample imbalance on identifying differentially expressed genes

BMC Bioinformatics

Volumn 7, Issue SUPPL.4, 2006, Pages

  Yang, Kun ^a   Li, Jianzhong ^a   Gao, Hong ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENTIAL EXPRESSIONS; DIFFERENTIALLY EXPRESSED GENE; EVALUATION MODELS; GENE EXPRESSION DATA ANALYSIS; MICROARRAY EXPERIMENTS; RANDOM SAMPLING; UNBALANCED DATA;

GENE EXPRESSION;

ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; EXPERIMENTAL DESIGN; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC SELECTION; INTERMETHOD COMPARISON; MICROARRAY ANALYSIS; PERFORMANCE; RANDOMIZATION; SAMPLE SIZE; STATISTICAL ANALYSIS; STUDENT T TEST; VARIANCE; ALGORITHM; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; DNA MICROARRAY; EVALUATION STUDY; GENE EXPRESSION PROFILING; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION; GENE EXPRESSION PROFILING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 33947360303     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-S4-S8     Document Type: Article

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