Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods----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.

在另外数据表中

Representational geometry of incomplete faces in macaque face patches.

在另外数据表中

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

在另外数据表中

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

在另外数据表中

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:	Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods
英文论文题目:	Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods
作者:	Yuan, T.#, Yan, N.#, Fei, T.#, Zheng, J.#, Meng, J.#, Li, N.#, Liu, J.#, Zhang, H., Xie, L., Ying, W., Li, D., Shi, L., Sun, Y., Li, Y., Li, Y., Sun, Y.* & Zuo, E.*
论文出处:
刊物名称:	Nat. Commun.
年:	2021
卷:	12
期:
页:	4902
联系作者:
收录类别:
影响因子:
摘要:
全文链接:
外单位作者单位:
备注: