Modeling gene regulation from matched expression and chromatin accessibility data
收藏干细胞与再生医学数据中心2022-02-20 更新2024-03-06 收录
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http://data.iscr.ac.cn/Article?id=87f9991006ec2ac52656c8d475fa4c43
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资源简介：
We propose a statistical method to model gene regulation by paired expression and chromatin accessibility (PECA) data, which dissects the regulatory elements (RE) of the genome by modeling their interaction with general chromatin regulators (CR) and sequence-specific transcriptional regulators (TF) and consequent effects on transcriptional changes.
提供机构：
Stanford university
创建时间：
2022-02-20
