计算生物学
生物
基因
转录组
构造(python库)
功能(生物学)
生物信息学
基因表达
计算机科学
遗传学
程序设计语言
作者
Boxi Zhang,Erik Norberg
出处
期刊:Springer eBooks
[Springer Nature]
日期:2022-01-01
卷期号:: 289-302
标识
DOI:10.1007/978-1-0716-2071-7_18
摘要
Gene coexpression network analysis is a commonly used approach in bioinformatics and biomedical research to construct coexpression networks and detect coexpressed genes. This type of analysis has proven valuable for gene function prediction and for disease biomarker discovery.Here, we introduce and guide researchers through a method of differential coexpression analysis focusing on key autophagy and metabolic genes. We utilized the open-source Cancer Cell Line Encyclopedia (CCLE) project as this is one of the most comprehensive genomic and transcriptomic resources including more than 1000 cell lines of distinct origins. However, the coexpression analysis method described here can also be applied to any open-source dataset where the RNA expression are provided.We here provide detailed comprehensive practical instructions for investigators to successfully identify novel coexpression signatures.
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