Inferring gene regulation from stochastic transcriptional variation across single cells at steady state

Inferring gene regulation from stochastic transcriptional variation across single cells at steady state

<jats:p>Regulatory relationships between transcription factors (TFs) and their target genes lie at the heart of cellular identity and function; however, uncovering these relationships is often labor-intensive and requires perturbations. Here, we propose a principled framework to systematically...

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Bibliographic Details
Main Authors: Gupta, Anika, Martin-Rufino, Jorge D, Jones, Thouis R, Subramanian, Vidya, Qiu, Xiaojie, Grody, Emanuelle I, Bloemendal, Alex, Weng, Chen, Niu, Sheng-Yong, Min, Kyung Hoi, Mehta, Arnav, Zhang, Kaite, Siraj, Layla, Al' Khafaji, Aziz, Sankaran, Vijay G, Raychaudhuri, Soumya, Cleary, Brian, Grossman, Sharon, Lander, Eric S
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:English
Published: Proceedings of the National Academy of Sciences 2022
Online Access:https://hdl.handle.net/1721.1/146856

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https://hdl.handle.net/1721.1/146856

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