Article

A Markov Random Field Model for Network-based Differential Expression Analysis of Single-cell RNA-seq Data

2020-12-03

Abstract excerpt

<h4>Background: </h4> 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. However, the often-low sample size of single cell data limits the statistical power to identify DE genes. In this article, we propose to borrow information through known biological networks. <h4>Resul...

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Literature Corpus work: a1763e40-cd34-575c-86d5-e40d057ccacb
DOI: 10.21203/rs.3.rs-116107/v1

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