Construction and verification of atopic dermatitis diagnostic model based on pyroptosis related biological markers using machine learning methods.

ABSTRACT:

Objective

The aim of this study was to construct a model used for the accurate diagnosis of Atopic dermatitis (AD) using pyroptosis related biological markers (PRBMs) through the methods of machine learning.

Method

The pyroptosis related genes (PRGs) were acquired from molecular signatures database (MSigDB). The chip data of GSE120721, GSE6012, GSE32924, and GSE153007 were downloaded from gene expression omnibus (GEO) database. The data of GSE120721 and GSE6012 were combined as the training group, while the others were served as the testing groups. Subsequently, the expression of PRGs was extracted from the training group and differentially expressed analysis was conducted. CIBERSORT algorithm calculated the immune cells infiltration and differentially expressed analysis was

SUBMITTER: Wu W 

PROVIDER: S-EPMC10276470 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature