A new asynchronous parallel algorithm for inferring large-scale gene regulatory networks.

ABSTRACT: The reconstruction of gene regulatory networks (GRNs) from high-throughput experimental data has been considered one of the most important issues in systems biology research. With the development of high-throughput technology and the complexity of biological problems, we need to reconstruct GRNs that contain thousands of genes. However, when many existing algorithms are used to handle these large-scale problems, they will encounter two important issues: low accuracy and high computational cost. To overcome these difficulties, the main goal of this study is to design an effective parallel algorithm to infer large-scale GRNs based on high-performance parallel computing environments. In this study, we proposed a novel asynchronous parallel framework to improve the accuracy and lower the time

SUBMITTER: Xiao X 

PROVIDER: S-EPMC4373852 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature