A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data

A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data

Abstract Background Recent development of single cell sequencing technologies has made it possible to identify genes with different expression (DE) levels at the cell type level between different groups of samples. In this article, we propose to borrow information through known biological networks t...

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Bibliographic Details
Main Authors: Hongyu Li, Biqing Zhu, Zhichao Xu, Taylor Adams, Naftali Kaminski, Hongyu Zhao
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Bioinformatics
Subjects:
Markov random field
Differential expression
scRNA-seq
Online Access:https://doi.org/10.1186/s12859-021-04412-0

Internet

https://doi.org/10.1186/s12859-021-04412-0

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