Mining large-scale response networks reveals 'topmost activities' in Mycobacterium tuberculosis infection

Scientific Reports

Volumn 3, Issue , 2013, Pages

  Sambarey, Awanti ^a   Prashanthi, Karyala ^a   Chandra, Nagasuma ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTOME;

BIOLOGICAL MODEL; DATA MINING; GENE REGULATORY NETWORK; GENETICS; HUMAN; IMMUNOLOGY; MACROPHAGE; METABOLISM; MYCOBACTERIUM TUBERCULOSIS; PROTEIN PROTEIN INTERACTION; TUBERCULOSIS; ARTICLE;

DATA MINING; GENE REGULATORY NETWORKS; HUMANS; MACROPHAGES; MODELS, BIOLOGICAL; MYCOBACTERIUM TUBERCULOSIS; PROTEIN INTERACTION MAPS; TRANSCRIPTOME; TUBERCULOSIS;

EID: 84881169742     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep02302     Document Type: Article

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