Gene set/pathway enrichment analysis

Jui-Hung Hung*

*此作品的通信作者

研究成果: Chapter同行評審

28 引文 斯高帕斯(Scopus)

摘要

Thanks for the dramatic reduction of the costs of high-throughput techniques in modern biotechnology, searching for differentially expressed genes is already a common procedure in identifying biomarkers or signatures of phenotypic states such as diseases or compound treatments. However, in most of the cases, especially in complex diseases, even given a list of biomarkers, the underlying biological mechanisms are still obscure to us. In other words, rather than knowing what genes are involved, we are more interested in discovering the common, collective roles of all these genes. Based on the assumption that genes involved in the same biological processes, functions, or localizations present correlated behaviors in terms of expression levels, signal intensities, allele occurrences, and so on, we can therefore apply statistical tests to find perturbed pathways. Gene Set/Pathway enrichment analysis is one of such techniques; a step-by-step instruction is described in this chapter.

原文English
主出版物標題Data Mining for Systems Biology
主出版物子標題Methods and Protocols
編輯Hiroshi Mamitsuka, Minoru Kanehisa, Charles DeLisi
頁面201-213
頁數13
DOIs
出版狀態Published - 8 一月 2013

出版系列

名字Methods in Molecular Biology
939
ISSN(列印)1064-3745

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