Article
Machine learning uncovers cell identity regulator by histone code.
Nature communications - 1 Jun 2020
Xia Bo, Zhao Dongyu, Wang Guangyu, Zhang Min, Lv Jie, Tomoiaga Alin S, Li Yanqiang, Wang Xin, Meng Shu, Cooke John P, Cao Qi, Zhang Lili, Chen Kaifu
Abstract excerpt
Conversion between cell types, e.g., by induced expression of master transcription factors, holds great promise for cellular therapy. Our ability to manipulate cell identity is constrained by incomplete information on cell identity genes (CIGs) and their expression regulation. Here, we develop CEFCIG, an artificial intelligent framework to uncover CIGs and further define their master regulators. On the basis of...
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