Identification and Classification of Differentially Expressed Genes and Network Meta-Analysis Reveals Potential Molecular Signatures Associated With Tuberculosis

Identification and Classification of Differentially Expressed Genes and Network Meta-Analysis Reveals Potential Molecular Signatures Associated With Tuberculosis

Tuberculosis (TB) is one of deadly transmissible disease that causes death worldwide; however, only 10% of people infected with Mycobacteriumtuberculosis develop disease, indicating that host genetic factors may play key role in determining susceptibility to TB disease. In this way, the analysis of...

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Bibliographic Details
Main Authors: Aftab Alam, Nikhat Imam, Mohd Murshad Ahmed, Safia Tazyeen, Naaila Tamkeen, Anam Farooqui, Md. Zubbair Malik, Romana Ishrat
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Genetics
Subjects:
meta-analysis
DEGs
gene ontology
KEGG
network analysis
gene knock-out
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00932/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00932/full

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