Construction of protein interaction network involved in lung adenocarcinomas using a novel algorithm.

ABSTRACT: Studies that only assess differentially-expressed (DE) genes do not contain the information required to investigate the mechanisms of diseases. A complete knowledge of all the direct and indirect interactions between proteins may act as a significant benchmark in the process of forming a comprehensive description of cellular mechanisms and functions. The results of protein interaction network studies are often inconsistent and are based on various methods. In the present study, a combined network was constructed using selected gene pairs, following the conversion and combination of the scores of gene pairs that were obtained across multiple approaches by a novel algorithm. Samples from patients with and without lung adenocarcinoma were compared, and the RankProd package was used to identif

SUBMITTER: Chen J 

PROVIDER: S-EPMC4998145 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature