Gene biomarker prediction in glioma by integrating scRNA-seq data and gene regulatory network.

ABSTRACT:

Background

Although great efforts have been made to study the occurrence and development of glioma, the molecular mechanisms of glioma are still unclear. Single-cell sequencing technology provides a new perspective for researchers to explore the pathogens of tumors to further help make treatment and prognosis decisions for patients with tumors.

Methods

In this study, we proposed an algorithm framework to explore the molecular mechanisms of glioma by integrating single-cell gene expression profiles and gene regulatory relations. First, since there were great differences among malignant cells from different glioma samples, we analyzed the expression status of malignant cells for each sample, and then tumor consensus genes were identified by constructing and analyzing cell-spec

SUBMITTER: Qin G 

PROVIDER: S-EPMC8643020 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature