Article

WGCNA and multiple machine learning methods identified SV2C and DENR as novel biomarkers for Parkinson's disease

2023-10-13

Abstract excerpt

In the past servel years, the incidence of Parkinson's disease has continued to rise globally, placing a heavy burden on patients and society. Nevertheless, diagnostic and therapeutic tools for the disease have not been completely optimized. Consequently, the current study concentrated on determining promising biomarkers in the brain tissues of Parkinson's disease individuals and performing functional analyses. In...

Topics

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

Identifiers and source

Literature Corpus work: 4f3efe9d-3746-51b0-95ba-10cbcf9ddd3f
DOI: 10.21203/rs.3.rs-3424070/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

WGCNA and multiple machine learning methods identified SV2C and DENR as novel biomarkers for Parkinson's diseaseDOI 10.21203/rs.3.rs-3424070/v1Read

Identification of PLOD3 and LRRN3 as potential biomarkers for Parkinson’s disease based on integrative analysisSemantic proximity Read

Identification of potential immune-related hub genes in Parkinson’s disease based on machine learning and development and validation of a diagnostic classification modelSemantic proximity Read

Differential gene expression and immune profiling in Parkinson’s disease: unveiling potential candidate biomarkersSemantic proximity Read

Integrative analysis of gene expression profiles of substantia nigra identifies potential diagnosis biomarkers in Parkinson's diseaseSemantic proximity Read

Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson’s diseaseSemantic proximity Read

Identification of necroptosis-related genes in Parkinson’s disease by integrated bioinformatics analysis and experimental validationSemantic proximity Read

Identification of Novel Noninvasive Diagnostics Biomarkers in the Parkinson’s Diseases and Improving the Disease Classification Using Support Vector MachineSemantic proximity Read

Bioinformatics identification of potential biomarkers and therapeutic targets for Parkinson's diseaseSemantic proximity Read

Integrative Analysis of Gene Expression Profiles of Substantia Nigra Identifies Potential Diagnosis Biomarkers in Parkinson's diseaseSemantic proximity Read

Parkinson’s Disease as a Risk Factor for Prostate Adenocarcinoma: A Molecular Point of ViewSemantic proximity Read

Multimodal analysis of gene expression from postmortem brains and blood identifies synaptic vesicle trafficking genes to be associated with Parkinson’s diseaseSemantic proximity Read

Finding Genetic Contributors to Parkinson’s Disease via Weighted Gene Co- expression Network AnalysisSemantic proximity Read