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
copy number
gene expression
transcription factor
deep learning
medical education