A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies

A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies

Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput sequencing technique for studying gene expressions at the cell level. Differential Expression (DE) analysis is a major downstream analysis of scRNA-seq data. DE analysis the in presence of noises from different sources remains a key...

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Bibliographic Details
Main Authors: Samarendra Das, Anil Rai, Michael L. Merchant, Matthew C. Cave, Shesh N. Rai
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Genes
Subjects:
scRNA-seq
differential expression
statistical models
multiple criteria decision making
combined data settings
TOPSIS
Online Access:https://www.mdpi.com/2073-4425/12/12/1947

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