Contribution of microarray data to the advancement of knowledge on the Mycobacterium tuberculosis interactome: Use of the random partial least squares approach

Infection, Genetics and Evolution

Volumn 11, Issue 4, 2011, Pages 725-733

  Mazandu, Gaston K ^a   Opap, Kenneth ^a   Mulder, Nicola J ^a  

^a UNIVERSITY OF CAPE TOWN   (South Africa)

Author keywords

Co expression networks; Microarray; Partial least squares; Tuberculosis

Indexed keywords

ARTICLE; BACTERIAL GENE; BIOINFORMATICS; GENE EXPRESSION; MICROARRAY ANALYSIS; MYCOBACTERIUM TUBERCULOSIS; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL;

ALGORITHMS; BACTERIAL PROTEINS; COMPUTER SIMULATION; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, BACTERIAL; HUMANS; LEAST-SQUARES ANALYSIS; MODELS, BIOLOGICAL; MYCOBACTERIUM TUBERCULOSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEIN BINDING;

MYCOBACTERIUM TUBERCULOSIS;

EID: 79956306302     PISSN: 15671348     EISSN: 15677257     Source Type: Journal    
DOI: 10.1016/j.meegid.2011.04.012     Document Type: Article

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