ScMEB: a fast and clustering-independent method for detecting differentially expressed genes in single-cell RNA-seq data.

ABSTRACT:

Background

Cell clustering is a prerequisite for identifying differentially expressed genes (DEGs) in single-cell RNA sequencing (scRNA-seq) data. Obtaining a perfect clustering result is of central importance for subsequent analyses, but not easy. Additionally, the increase in cell throughput due to the advancement of scRNA-seq protocols exacerbates many computational issues, especially regarding method runtime. To address these difficulties, a new, accurate, and fast method for detecting DEGs in scRNA-seq data is needed.

Results

Here, we propose single-cell minimum enclosing ball (scMEB), a novel and fast method for detecting single-cell DEGs without prior cell clustering results. The proposed method utilizes a small part of known non-DEGs (stably expressed genes) to build

SUBMITTER: Zhu J 

PROVIDER: S-EPMC10210493 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature