Using the underlying biological organization of the Mycobacterium tuberculosis functional network for protein function prediction

Infection, Genetics and Evolution

Volumn 12, Issue 5, 2012, Pages 922-932

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

^a UNIVERSITY OF CAPE TOWN   (South Africa)

Author keywords

Data integration; Function prediction; Functional network; Tuberculosis

Indexed keywords

BACTERIAL PROTEIN;

ACCURACY; ARTICLE; BACTERIAL GENOME; BACTERIAL STRAIN; CONTROLLED STUDY; INFORMATION PROCESSING; INFORMATION RETRIEVAL; MYCOBACTERIUM TUBERCULOSIS; PREDICTION; PRIORITY JOURNAL; PROTEIN DATABASE; PROTEIN FUNCTION; PROTEOMICS; SCORING SYSTEM;

BACTERIAL PROTEINS; DATABASES, PROTEIN; GENES, BACTERIAL; MODELS, STATISTICAL; MYCOBACTERIUM TUBERCULOSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEIN INTERACTION MAPS; PROTEOME; PROTEOMICS; ROC CURVE;

BACTERIA (MICROORGANISMS); MYCOBACTERIUM TUBERCULOSIS;

EID: 84860362791     PISSN: 15671348     EISSN: 15677257     Source Type: Journal    
DOI: 10.1016/j.meegid.2011.10.027     Document Type: Article

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