Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models

Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models

Differential network analysis plays an important role in learning how gene interactions change under different biological conditions, and the high resolution of single-cell RNA (scRNA-seq) sequencing provides new opportunities to explore these changing gene-gene interactions. Here, we present a spar...

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Bibliographic Details
Main Authors: Michael Sekula, Jeremy Gaskins, Susmita Datta
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Genetics
Subjects:
Bayesian
factor model
scRNA-seq
gene co-expression network
differential network analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.810816/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.810816/full

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