Integrative multi-omics and network-based machine learning for early diagnosis of Parkinson’s disease

Combining machine learning with integrative multi-omics and network topology analysis enables effective biomarker identification and PD classification, with strong potential for clinical diagnostic applications.

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Publication Details

Journal
PLoS ONE
Published
2026-01-06
DOI
https://doi.org/10.1371/journal.pone.0329980
Citations
1
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
39.15
Controls
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article

Integrative multi-omics and network-based machine learning for early diagnosis of Parkinson’s disease

Wei Liu, Lina Xu, Jiuqi Wang, Xuejing Wang
1 citations
PLoS ONE
Parkinson's Disease Mechanisms and Treatments
39.15
article

Integrative multi-omics and network-based machine learning for early diagnosis of Parkinson’s disease

Wei Liu, Lina Xu, Jiuqi Wang, Xuejing Wang
article en
1 citations

Abstract

Combining machine learning with integrative multi-omics and network topology analysis enables effective biomarker identification and PD classification, with strong potential for clinical diagnostic applications.

PLoS ONEVol. 21(1)
Zoucheng People's Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN)
Openalex Percentile: Top 2%
Parkinson's Disease Mechanisms and Treatments
39.15
DOIOpen Access PDFOpenAlex
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