Abstract
Feature selection by expectation maximization test (Festem) enables the direct selection of cell type marker genes, facilitating downstream clustering of single-cell RNA sequencing (scRNA-seq) data. Here, we present a protocol for using Festem to identify marker genes in scRNA-seq data and perform subsequent analyses. We describe comprehensive steps for setting up the environment, marker gene selection, clustering, and marker gene assignment. This protocol yields both clustering results and identified marker genes, enhancing the interpretation of biological information in scRNA-seq data. For complete details on the use and execution of this protocol, please refer to Chen et al.(1).