Since hub nodes have been found to play important roles in many networks, highly
connected hub genes are expected to play an important role in biology as well. However …

Background Gene regulatory networks reveal how genes work together to carry out their
biological functions. Reconstructions of gene networks from gene expression data greatly …

This study aimed to select the feature genes of hepatocellular carcinoma (HCC) with the
Fisher score algorithm and to identify hub genes with the Maximal Clique Centrality (MCC) …

One major task in the post-genome era is to reconstruct proteomic and genomic interacting
networks using high-throughput experiment data. To identify essential nodes/hubs in these …

Hepatocellular carcinoma (HCC) is a widespread, common type of cancer in Asian
countries, and the need for biomarker-matched molecularly targeted therapy for HCC has …

Although many genes may serve as reference genes, they may cause different expression
patterns by selecting different reference genes because no single gene is expressed …

Abstract Motivation: Approximately 9334 (37%) of Human genes have no publications
documenting their function and, for those that are published, the number of publications per …

Cervical cancer is the third most common malignancy in women worldwide. It remains a
leading cause of cancer-related death for women in developing countries. In order to …

SWItchMiner (SWIM) is a wizard-like software implementation of a procedure, previously
described, able to extract information contained in complex networks. Specifically, SWIM …

A critical step in the analysis of large genome-wide gene expression datasets is the use of
module detection methods to group genes into co-expression modules. Because of …