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pathway-based Analysis Tools for Complex Diseases: A Review

Genomics, Proteomics & Bioinformatics 2014年第5期12卷 210-220页

作者： Lv Jin Xiao-Yu Zuo Wei-Yang Su Xiao-Lei Zhao Man-Qiong Yuan Li-Zhen Han Xiang Zhao Ye-Da Chen Shao-Qi Rao Institute for Medical Systems Biology and Department of Medical Statistics and Epidemiology School of Public HealthGuangdong Medical College Department of Medical Statistics and Epidemiology School of Public Health Sun Yat-Sen University Community Health Service Management Center of Panyu District Department of Statistical Sciences School of Mathematics and Computational Science Sun Yat-Sen University

Genetic studies are traditionally based on single-gene analysis. The use of these analyses can pose tremendous challenges for elucidating complicated genetic interplays involved in complex human diseases. Modern pathway-based analysis provides a technique, which allows a comprehen- sive understanding of the molecular mechanisms underlying complex diseases. Extensive studies uti- lizing the methods and applications for pathway-based analysis have significantly advanced our capacity to explore large-scale omics data, which has rapidly accumulated in biomedical fields. This article is a comprehensive review of the pathway-based analysis methods the powerful methods with the potential to uncover the biological depths of the complex diseases. The general concepts and procedures for the pathway-based analysis methods are introduced and then, a comprehensive review of the major approaches for this analysis is presented. In addition, a list of available path- way-based analysis software and databases is provided. Finally, future directions and challenges for the methodological development and applications of pathway-based analysis techniques are dis- cussed. This review will provide a useful guide to dissect complex diseases.

关键词： Complex disease pathway-based analysisalgorithms Software and databases

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