Integrated Statistics Pipeline to Mine Key Genes Involved in Tuberculosis from Multiple-omics Data

Abstract

Two sets of omics data about tuberculosis were analyzed in this study through different statistical methods such as significance test and cluster analysis. 14 hits were found as most probable genes associated with tuberculosis which can be crossvalidated by different studies. This implicates that the statistical methodologies can be helpful to narrow down the shortlist for tuberculosis disease relevant genes.