Mapping transcriptomic vector fields of single cells

Mapping transcriptomic vector fields of single cells

Single-cell (sc)RNA-seq, together with RNA velocity and metabolic labeling, reveals cellular states and transitions at unprecedented resolution. Fully exploiting these data, however, requires kinetic models capable of unveiling governing regulatory functions. Here, we introduce an analytical framewo...

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Bibliographic Details
Main Authors: Qiu, Xiaojie, Zhang, Yan, Martin-Rufino, Jorge D, Weng, Chen, Hosseinzadeh, Shayan, Yang, Dian, Pogson, Angela N, Hein, Marco Y, Hoi (Joseph) Min, Kyung, Wang, Li, Grody, Emanuelle I, Shurtleff, Matthew J, Yuan, Ruoshi, Xu, Song, Ma, Yian, Replogle, Joseph M, Lander, Eric S, Darmanis, Spyros, Bahar, Ivet, Sankaran, Vijay G, Xing, Jianhua, Weissman, Jonathan S
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:English
Published: Elsevier BV 2022
Online Access:https://hdl.handle.net/1721.1/146854

Internet

https://hdl.handle.net/1721.1/146854

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