Using Functional Linkage Gene Networks to Study Human Diseases

View Sample PDF

Author(s): Bolan Linghu (Novartis Institutes for BioMedical Research, USA), Guohui Liu (Millennium Pharmaceuticals Inc, USA)and Yu Xia (Boston University, USA)
Copyright: 2011
Pages: 19
Source title: Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications
Source Author(s)/Editor(s): Limin Angela Liu (Shanghai Jiao Tong University, China), Dongqing Wei (Shanghai Jiao Tong University, China), Yixue Li (Shanghai Jiao Tong University, China)and Huimin Lei (Shanghai Jiao Tong University, China)
DOI: 10.4018/978-1-60960-491-2.ch012

Keywords: Bioinformatics / Biologically-Inspired Computing / Medical Information Science Reference / Medicine & Healthcare

Purchase

View Using Functional Linkage Gene Networks to Study Human Diseases on the publisher's website for pricing and purchasing information.

Abstract

A major challenge in the post-genomic era is to understand the specific cellular functions of individual genes and how dysfunctions of these genes lead to different diseases. As an emerging area of systems biology, gene networks have been used to shed light on gene function and human disease. In this chapter, first the existence of functional association for genes working in a common biological process or implicated in a common disease is demonstrated. Next, approaches to construct the functional linkage gene network (FLN) based on genomic and proteomic data integration are reviewed. Finally, two FLN-based applications related to diseases are reviewed: prediction of new disease genes and therapeutic targets, and identification of disease-disease associations at the molecular level. Both of these applications bring new insights into the molecular mechanisms of diseases, and provide new opportunities for drug discovery.

The IRMA Community

Research IRM

Using Functional Linkage Gene Networks to Study Human Diseases

Purchase

Abstract

Related Content

IRMA Sponsors