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

scientific article published on January 2013

Mining large-scale response networks reveals 'topmost activities' in Mycobacterium tuberculosis infection is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1038/SREP02302
P932PMC publication ID3725478
P698PubMed publication ID23892477
P5875ResearchGate publication ID253334752

P50authorNagasuma ChandraQ47455130
P2093author name stringAwanti Sambarey
Karyala Prashanthi
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P275copyright licenseCreative Commons Attribution-NonCommercial-ShareAlike 3.0 UnportedQ15643954
P6216copyright statuscopyrightedQ50423863
P4510describes a project that usesCytoscapeQ3699942
P407language of work or nameEnglishQ1860
P921main subjectMycobacterium tuberculosisQ130971
P304page(s)2302
P577publication date2013-01-01
P1433published inScientific ReportsQ2261792
P1476titleMining large-scale response networks reveals 'topmost activities' in Mycobacterium tuberculosis infection
P478volume3

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Q37584275Unbiased Identification of Blood-based Biomarkers for Pulmonary Tuberculosis by Modeling and Mining Molecular Interaction Networks

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