Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Topics Community

Article

Identification of Potential Diagnostic Biomarkers and Biological Pathways in Hypertrophic Cardiomyopathy Based on Bioinformatics Analysis

17 Mar 2022

Abstract excerpt

Hypertrophic cardiomyopathy (HCM) is a genetic heterogeneous disorder and the main cause of sudden cardiac death in adolescents and young adults. This study was aimed at identifying potential diagnostic biomarkers and biological pathways to help to diagnose and treat HCM through bioinformatics analysis. We selected the GSE36961 dataset from the Gene Expression Omnibus (GEO) database and identified 893...

Source

Identifiers

PMID: 35328083
DOI: 10.3390/genes13030530

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Potential Diagnostic Biomarkers and Biological Pathways in Hypertrophic Cardiomyopathy Based on Bioinformatics AnalysisPMID 35328083Read ↗

Prediction of diagnostic gene biomarkers for hypertrophic cardiomyopathy by integrated machine learningSemantic proximity Read ↗

Identification of potential biomarkers associated with dilated cardiomyopathy by bioinformatics analysisSemantic proximity Read ↗

Identification of important modules and biomarkers in diabetic cardiomyopathy based on WGCNA and LASSO analysisSemantic proximity Read ↗

Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathySemantic proximity Read ↗

Dysfunctional Network and Mutation Genes of Hypertrophic Cardiomyopathy.Semantic proximity Read ↗

Identification of biomarkers associated with heart failure caused by idiopathic dilated cardiomyopathy using WGCNA and machine learning algorithmsSemantic proximity Read ↗

Dysfunctional network and mutation genes of hypertrophic cardiomyopathySemantic proximity Read ↗

Identification and verification of IGFBP3 and YTHDC1 as biomarkers associated with immune infiltration and mitophagy in hypertrophic cardiomyopathySemantic proximity Read ↗

Immune Cell Infiltration Reveals Dynamic Changes in Hypertrophic Cardiomyopathy and Heart FailureSemantic proximity Read ↗

Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in dilated cardiomyopathy with heart failureSemantic proximity Read ↗

Identification of Key Genes and Pathways in Hypertrophic Cardiomyopathy via Weighted Gene Co-Expression Network AnalysisSemantic proximity Read ↗

Identification of Biomarkers Associated with Heart Failure Caused by Idiopathic Dilated Cardiomyopathy Using WGCNA and Machine Learning AlgorithmsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.