Article

Identification of Key Ischemic Stroke Genes by Computational Systems Biology

2021-10-09

Abstract excerpt

Stroke is one of the leading causes of death in humans. Even if patients survive from stroke, they may suffer sequelae such as disability. Treatment for strokes remains unsatisfactory due to an incomplete understanding of its mechanisms. This study investigates Ischemic Stroke (IS), a primary subtype of stroke, through analyses based on microarray data. Limma (in R)derives differentially expressed genes, and the p...

Topics

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

Identifiers and source

Literature Corpus work: 2ca8fab7-7977-54cb-953a-fd2c1dc195d8
DOI: 10.1101/2021.10.07.463458

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of Key Ischemic Stroke Genes by Computational Systems BiologyDOI 10.1101/2021.10.07.463458Read

Identification of Key Ischemic Stroke Genes by Computational Systems BiologySemantic proximity Read

Hub Genes of Stroke Identified by Weighted Gene Co-expression Network AnalysisSemantic proximity Read

Hub genes of stroke identified by weighted gene co-expression network analysisSemantic proximity Read

Identification of molecular subtypes of ischaemic stroke based on immune‐related genes and weighted co‐expression network analysisSemantic proximity Read

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

Exploring biomarkers and therapeutic targets for ischemic stroke through integrated microarray data analysisSemantic proximity Read

Identification of Molecular Biomarkers Associated With Stroke Progression Using WGCNA and SVM-RFESemantic proximity Read

Identification of network-based biomarkers of cardioembolic stroke using a systems biology approach with time series dataSemantic proximity Read

Identification of the Molecular Subtypes of Acute Ischemic Stroke Using Bioinformatics and Machine LearningSemantic proximity Read

Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic strokeSemantic proximity Read

Identification of novel inflammatory response-related biomarkers in patients with ischemic stroke based on WGCNA and machine learningSemantic proximity Read

Identification of immune-related key genes in the peripheral blood of ischaemic stroke patients using a weighted gene coexpression network analysis and machine learningSemantic proximity Read