Automated cell annotation in scRNA-seq data using unique marker gene sets
Feature selection revisited in the single-cell era
A comparison of marker gene selection methods for single-cell RNA sequencing data
Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis
Supervised discovery of interpretable gene programs from single-cell data
Significance analysis for clustering with single-cell RNA-sequencing data
Computational principles and challenges in single-cell data integration
Hallmarks of transcriptional intratumour heterogeneity across a thousand tumours
The future of rapid and automated single-cell data analysis using reference mapping
Best practices for single-cell analysis across modalities
Current best practices in single‐cell RNA‐seq analysis: a tutorial
An introduction to spatial transcriptomics for biomedical research