Inferring propensity amongst lung and breast carcinomas via overlapped gene expression profiles

• DOI: 10.1101/178558
• Publication Date: 2017-08-21T05:10:24Z
• Authors: Rajni Jaiswal; Sabin Dhakal; Shaurya Jauhari
• Keywords: Identification; Gene regulatory network

ABSTRACT Reconstruction of biological networks for topological analyses helps in correlation identification between various types biomarkers. These have been vital components System Biology present era. Genes are the basic physical and structural unit heredity. act as instructions to make molecules called proteins. Alterations normal sequence these genes root cause diseases cancer is prominent example disease caused by gene alteration or mutation. slight alterations can be detected microarray analysis. The high throughput data obtained experiments aid scientists reconstructing specific regulatory networks. purpose experiment performed find out overlapping expression profiles breast lung data, so that common hub sifted utilized drug targets which could used treatment diseased conditions. In this study, first differentially expressed identified (lung cancer), followed a filtration approach most significant chosen using paired t-test network construction. result has checked validated with available databases literature.