We have developed a general framework to construct an association network of single
nucleotide polymorphisms (SNPs)(SNP association network, SAN) based on the functional …

In humans, despite the rapid increase in disease-associated gene discovery, a large
proportion of disease-associated genes are still unknown. Many network-based approaches …

Motivation: An important question that has emerged from the recent success of genome-
wide association studies (GWAS) is how to detect genetic signals beyond single …

Background Tissue specificity is an important aspect of many genetic diseases in the context
of genetic disorders as the disorder affects only few tissues. Therefore tissue specificity is …

Abstract Systems biology has become an effective approach for understanding the
molecular mechanisms underlying the development of lung cancer. In this study, sequences …

The identification of disease genes is very important not only to provide greater
understanding of gene function and cellular mechanisms which drive human disease, but …

Motivation: Mining the hereditary disease-genes from human genome is one of the most
important tasks in bioinformatics research. A variety of sequence features and functional …

With the constant update of large-scale sequencing data and the continuous improvement of
cancer genomics data, such as International Cancer Genome Consortium (ICGC) and The …

In human physiological conditions like complex diseases, a large number of genes/proteins,
as well as their interactions, are involved. Thus, detecting the biochemical pathways …

Background Cancers, a group of multifactorial complex diseases, are generally caused by
mutation of multiple genes or dysregulation of pathways. Identifying biomarkers that can …