A comparison of marker gene selection methods for single-cell RNA sequencing data.

Published in: Genome biology (2024)

Overall, we present a comprehensive evaluation of methods for selecting marker genes in scRNA-seq data. Our results highlight the efficacy of simple methods, especially the Wilcoxon rank-sum test, Student's t-test, and logistic regression.

Keyphrases

single cell
rna seq
genome wide
electronic health record
big data
high throughput
genome wide identification
dna methylation
gene expression
machine learning
data analysis
bioinformatics analysis
medical education