In the analysis of gene expression data, network approaches take a system perspective and
have played an irreplaceably important role. Gaussian graphical models (GGMs) have been …

Genetic interactions are very helpful in understanding different disease and discovering
drugs for it. Compared to the gene pairs that represent the genetic interactions between two …

This paper presents a parallel algorithm for gene regulatory network construction, hereby
referred to as H2pcGRN. The construction of gene regulatory network is a vital methodology …

The Gene regulatory network analysis is one of the gene expression data analysis tasks.
Gene regulatory network goal is determining the topological order of genes interactions …

The inference of gene regulatory network has a vital role in understanding the topological
order of gene interactions, in addition to how genes are affected by the others genes. One of …

Cancer is a molecular disease. In the past two decades, we have witnessed a surge of high-
throughput profiling in cancer research and corresponding development of high …

The gene regulatory network analysis primary goal is understanding the gene interactions
topological order and how the genes influence each other. Network component analysis is a …

Construction of a gene regulatory network is a vital process for understanding the gene
functions and gene influences on the other genes. Furthermore, gene regulatory network …