Super-sparse principal component analyses for high-throughput genomic data

BMC Bioinformatics

Volumn 11, Issue , 2010, Pages

  Lee, Donghwan ^a   Lee, Woojoo ^b   Lee, Youngjo ^a   Pawitan, Yudi ^b  

^a Seoul National University   (South Korea)

^b KAROLINSKA INSTITUTE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTING ALGORITHMS; GENE EXPRESSION DATA; HIGH DIMENSIONAL DATA; LINEAR COMBINATIONS; NON-ZERO COEFFICIENTS; PARTIAL LEAST SQUARE (PLS); PRINCIPAL COMPONENTS; RANDOM-EFFECT MODELS;

ALGORITHMS; GENE EXPRESSION; ITERATIVE METHODS; LOADING;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENOME; GENOMICS; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS;

ALGORITHMS; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENOME; GENOMICS; PRINCIPAL COMPONENT ANALYSIS;

EID: 77954586272     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-296     Document Type: Article

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