Bayesian information sharing enhances detection of regulatory associations in rare cell types

Bayesian information sharing enhances detection of regulatory associations in rare cell types

Abstract Motivation: Recent advances in single-cell RNA-sequencing (scRNA-seq) technologies promise to enable the study of gene regulatory associations at unprecedented resolution in diverse cellular contexts. However, identifying unique regulatory associations observed only in specific cell type...

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Bibliographic Details
Main Authors: Wu, Alexander P, Peng, Jian, Berger, Bonnie, Cho, Hyunghoon
Other Authors: Massachusetts Institute of Technology. Department of Mathematics
Format: Article
Language:English
Published: Oxford University Press (OUP) 2022
Online Access:https://hdl.handle.net/1721.1/145604

Internet

https://hdl.handle.net/1721.1/145604

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