EpiCas-DL: Predicting sgRNA activity for CRISPR-mediated epigenome editing by deep learning.----中国科学院脑科学与智能技术卓越创新中心

High-dimensional topographic organization of visual features in the primate temporal lobe.

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Representational geometry of incomplete faces in macaque face patches.

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Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.

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Explaining face representation in the primate brain using different computational models.

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论文编号:
第一作者所在部门:	神经系统遗传病研究组
论文题目:	EpiCas-DL: Predicting sgRNA activity for CRISPR-mediated epigenome editing by deep learning.
英文论文题目:	EpiCas-DL: Predicting sgRNA activity for CRISPR-mediated epigenome editing by deep learning.
作者:	Yang,Q.,Wu,L.,Meng,J.,Ma,L.,Zuo,E.,Sun,Y.**
论文出处:
刊物名称:	Computational and Structural Biotechnology Journal
年:	2022
卷:	21
期:
页:	202-211
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