Identification of Colon Immune Cell Marker Genes Using Machine Learning Methods.

ABSTRACT: Immune cell infiltration that occurs at the site of colon tumors influences the course of cancer. Different immune cell compositions in the microenvironment lead to different immune responses and different therapeutic effects. This study analyzed single-cell RNA sequencing data in a normal colon with the aim of screening genetic markers of 25 candidate immune cell types and revealing quantitative differences between them. The dataset contains 25 classes of immune cells, 41,650 cells in total, and each cell is expressed by 22,164 genes at the expression level. They were fed into a machine learning-based stream. The five feature ranking algorithms (last absolute shrinkage and selection operator, light gradient boosting machine, Monte Carlo feature selection, minimum redundancy maximum releva

SUBMITTER: Yang Y 

PROVIDER: S-EPMC10532943 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature