Discover Community Create You

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

Article

Identifying potential gene biomarkers for Parkinson’s disease through an information entropy based approach

1 Jan 2020

Abstract excerpt

Parkinson's disease (PD) is a chronic, progressive neurodegenerative disease and represents the most common disease of this type, after Alzheimer's dementia. It is characterized by motor and nonmotor features and by a long prodromal stage that lasts many years. Genetic research has shown that PD is a complex and multisystem disorder. To capture the molecular complexity of this disease we used a complex network...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alzheimer's disease research and treatments
Share to Bioinformatics and Genomic Networks
Share to Parkinson's Disease Mechanisms and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33049726
DOI: 10.1088/1478-3975/abc09a

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identifying potential gene biomarkers for Parkinson’s disease through an information entropy based approachPMID 33049726Read ↗

Shannon entropy approach reveals relevant genes in Alzheimer's disease.Semantic proximity Read ↗

Construction and Analysis of the Protein-Protein Interaction Networks Based on Gene Expression Profiles of Parkinson's DiseaseSemantic proximity Read ↗

Reconstruction of gene network associated with Parkinson disease for gene targets searchSemantic proximity Read ↗

Gene co-expression network analysis for identifying genetic markers in Parkinson's disease - a three-way comparative approachSemantic proximity Read ↗

Identification of biomarkers associated with Parkinson’s disease by gene expression profiling studies and bioinformatics analysisSemantic proximity Read ↗

A Network based Approach to Identify the Genetic Influence Caused by Associated Factors and Disorders for the Parkinsons Disease ProgressionSemantic proximity Read ↗

Systematic analysis of microarray datasets to identify Parkinson's disease‑associated pathways and genes.Semantic proximity Read ↗

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

The Protein-Protein Interaction Network of Hereditary Parkinsonism Genes Is a Hierarchical Scale-Free Network.Semantic proximity Read ↗

Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression ProfilesSemantic proximity Read ↗

Parkinson’s Disease Gene Biomarkers Screened by the LASSO and SVM AlgorithmsSemantic proximity Read ↗

A complex network approach reveals a pivotal substructure of genes linked to schizophrenia.Semantic proximity Read ↗

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