基因调控网络
转录组
计算生物学
基因
疾病
协议(科学)
基因表达调控
计算机科学
钥匙(锁)
生物
基因表达
遗传学
医学
病理
替代医学
计算机安全
作者
Zhaorui Dong,Xiaoqiang Sun
出处
期刊:STAR protocols
[Elsevier]
日期:2022-06-15
卷期号:3 (3): 101467-101467
被引量:1
标识
DOI:10.1016/j.xpro.2022.101467
摘要
Due to a lack of explicit temporal information, it can be challenging to infer gene regulatory networks from clinical transcriptomic data. Here, we describe the protocol of PROB_R for inferring latent temporal disease progression and reconstructing gene regulatory networks from cross-sectional clinical transcriptomic data. We illustrate the protocol by applying it to a breast cancer dataset to demonstrate its use in recovering pseudo-temporal dynamics of gene expression alongside disease progression, reconstructing gene regulatory networks, and identifying key regulatory genes. For complete details on the use and execution of this protocol, please refer to Sun et al. (2021).
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