Use of normalization methods for analysis of microarrays containing a high degree of gene effects

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Ni, Terri T ^a   Lemon, William J ^c   Shyr, Yu ^a,b   Zhong, Tao P ^a  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^c Academic Programs   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA NORMALIZATION METHODS; DEVELOPMENTAL STAGE; DIFFERENTIALLY EXPRESSED GENE; EXPERIMENTAL CONDITIONS; GENE EXPRESSION DATA; NONLINEAR CURVE FITTING; NONLINEAR NORMALIZATION; NORMALIZATION METHODS;

HISTOLOGY; MICROARRAYS; TISSUE; TISSUE ENGINEERING;

GENE EXPRESSION;

ACCURACY; ARTICLE; COMPUTER SIMULATION; CONTROLLED STUDY; GENE EXPRESSION PROFILING; GENETIC VARIABILITY; HOUSEKEEPING GENE; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MICROARRAY ANALYSIS; NONPARAMETRIC TEST; PROCESS OPTIMIZATION; ALGORITHM; ANALYSIS OF VARIANCE; BIOLOGY; DNA MICROARRAY; GENE EXPRESSION; METHODOLOGY; NONLINEAR SYSTEM; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ANALYSIS OF VARIANCE; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION; GENE EXPRESSION PROFILING; MODELS, STATISTICAL; NONLINEAR DYNAMICS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SENSITIVITY AND SPECIFICITY; STATISTICS, NONPARAMETRIC;

EID: 58149293012     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-505     Document Type: Article

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