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pro vyhledávání: '"Junxiang Jason Huang"'
Autor:
Judith Mizrachi, Partha P. Mitra, Arun Narasimhan, Philip R. Nicovich, Sarojini M. Attili, Hideki Kondo, Pavel Osten, Muye Zhu, Brian Zingg, Anthony M. Zador, Stephan Fischer, William Galbavy, Uree Chon, Liya Ding, Stephanie Mok, Kwanghun Chung, Florence D’Orazi, Xu An, Shenqin Yao, Philip Lesnar, Wayne Wakemen, James C. Gee, Darrick Lo, Kathleen Kelly, Ian Bowman, Lydia Ng, Peng Xie, Quanxin Wang, Karla E. Hirokawa, X. William Yang, Julie A. Harris, Xiuli Kuang, Huizhong W. Tao, Samik Bannerjee, Elise Shen, Xu Li, Z. Josh Huang, Ali Cetin, Young Gyun Park, Lijuan Liu, Corey Elowsky, Xiangning Li, Lin Gou, Hong-Wei Dong, Laura Korobkova, Joshua T. Hatfield, Junxiang Jason Huang, Hui Gong, Yun Wang, Houri Hintiryan, Nicholas N. Foster, Peter A. Groblewski, Michael S. Bienkowski, Diek W. Wheeler, Xiaoyin Chen, Yu-Chi Sun, Anastasiia Bludova, Maitham Naeemi, Rodrigo Muñoz-Castañeda, Joel D. Hahn, Jing Yuan, Hanchuan Peng, Katherine Matho, Jason Palmer, Huiqing Zhan, Yimin Wang, Hongkui Zeng, Michael Hawrylycz, Chris Sin Park, Li I. Zhang, Rhonda Drewes, Ramesh Palaniswamy, Bing-Xing Huo, Anan Li, Yongsoo Kim, Jesse Gillis, Byung Kook Lim, Lei Gao, Giorgio A. Ascoli, Xiaoli Qi, Meng Kuan Lin, Yaoyao Li, Qingming Luo
Publikováno v:
Nature
An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of t