Article

Machine learning approach for screening key genes of atherosclerosis and perform pan-cancer analysis

2023-03-17

Abstract excerpt

Atherosclerosis is an immunoinflammatory disease caused by lipids which is an important factor in causing coronary heart disease and stroke. Medical researchers around the world are working on more effective ways to diagnose and treat it. This article will introduce a method of machine learning algorithm to screen biomarkers and perform pan-cancer analysis for reference. First, we downloaded the GEO dataset contai...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 12ccb7c2-2059-5696-a67e-81ae8244f0ab
DOI: 10.21203/rs.3.rs-2687945/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine learning approach for screening key genes of atherosclerosis and perform pan-cancer analysisDOI 10.21203/rs.3.rs-2687945/v1Read

Immune-Associated Gene Signatures and Subtypes to Predict the Progression of Atherosclerotic Plaques Based on Machine LearningSemantic proximity Read

Identification and Validation of Immune-Related Genes Diagnostic for Progression of Atherosclerosis and DiabetesSemantic proximity Read

Identification and verification of immune-related genes for diagnosing the progression of atherosclerosis and metabolic syndromeSemantic proximity Read

Identification and verification of immune-related genes for diagnosing the progression of atherosclerosis and metabolic syndrome.Semantic proximity Read

Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and RRS1 pan-cancer analysisSemantic proximity Read

Atherosclerosis biomarkers via mitochondrial permeability transition necrosis gene analysisSemantic proximity Read

Identification and verification of pivotal genes promoting the progression of atherosclerosis based on WGCNASemantic proximity Read

Bioinformatics analysis of common differential genes of coronary artery disease and carotid atherosclerosisSemantic proximity Read

Analysis of gene expression profile identifies potential biomarkers for atherosclerosisSemantic proximity Read

Integrated Analysis of Ferroptosis- and Cellular Senescence-Related Biomarkers in Atherosclerosis based on Machine Learning and Single-Cell Sequencing DataSemantic proximity Read

Pan-cancer analysis of Ischemic stroke-related innate immune genes screened by machine learningSemantic proximity Read

Construction of genetic classification model for coronary atherosclerosis heart disease using three machine learning methods.Semantic proximity Read