Considerations when using the significance analysis of microarrays (SAM) algorithm

BMC Bioinformatics

Volumn 6, Issue , 2005, Pages

  Larsson, Ola ^a   Wahlestedt, Claes ^a   Timmons, James A ^a  

^a KAROLINSKA INSTITUTE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS STRATEGIES; GENE EXPRESSION DATA ANALYSIS; MICROARRAY TECHNOLOGIES; OR APPLICATIONS; POTENTIAL IMPACTS; SIGNIFICANCE ANALYSIS OF MICROARRAYS; SIGNIFICANCE LEVELS; SIGNIFICANCE TESTING;

GENE EXPRESSION;

MICROARRAYS;

ALGORITHM; ARTICLE; GENE EXPRESSION; GENE IDENTIFICATION; GENE OVEREXPRESSION; GENETIC ANALYSIS; HUMAN; MOUSE; NONHUMAN; SIGNIFICANCE ANALYSIS OF MICROARRAYS; ADULT; AGED; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOLOGY; COMPUTER PROGRAM; DNA MICROARRAY; GENE EXPRESSION PROFILING; METABOLISM; METHODOLOGY; MICROARRAY ANALYSIS; MIDDLE AGED; PHENOTYPE; PROCEDURES; SKELETAL MUSCLE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ADULT; AGED; ALGORITHMS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; HUMANS; MICROARRAY ANALYSIS; MIDDLE AGED; MODELS, GENETIC; MODELS, STATISTICAL; MUSCLE, SKELETAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; PHENOTYPE; RESEARCH DESIGN; SOFTWARE; SOFTWARE DESIGN;

EID: 25444458298     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-6-129     Document Type: Article

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