ArticleACS central science2023
Interpretable Machine Learning on Metabolomics Data Reveals Biomarkers for Parkinson's Disease.
Article in ACS central science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 40 citations in OpenAlex.
- Advances in biomarkers for Parkinson's disease: from molecular pathology to precision diagnostics.Journal of Zhejiang University. Science. B · 2026Review
- Semi-supervised ensemble learning with interval type-2 fuzzy-rough sets for Parkinson's disease prediction from multi-omics.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- ML-BUSMetab: Machine Learning-Based Metabolomic Profiling for Predicting Aspirin Response in Colorectal Cancer Chemoprevention: A Multi-Model Explainable Artificial Intelligence Approach with External Validation.Journal of clinical medicine · 2026Article
- Progress of metabolomics-centric multi-omics research in medicine.iMetaOmics · 2026Review
- Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis.ACS omega · 2026Article
- Association of a five-metabolite and early-symptom profile with Parkinson's disease and its clinical progression.Scientific reports · 2026Article
- Exploring the Fecal Microbiome Dysbiosis and Its Plasma Metabolome Determinants in Advanced Parkinson's Disease With Motor Complications.CNS neuroscience & therapeutics · 2026Article
- Predicting Polymerase Chain Reaction Success: Integrating theCombinatorial chemistry & high throughput screening · 2026Article
- Direct SERS profiling of small extracellular vesicles in cerebrospinal fluid for pediatric medulloblastoma detection and treatment monitoring.Analytical and bioanalytical chemistry · 2025Article
- Dual tissue mRNA and serum protein signatures improve risk stratification in hepatocellular carcinoma.NPJ precision oncology · 2025Article
- Hair Metabolomic Profiling of Diseased Forest Musk Deer (Animals : an open access journal from MDPI · 2025Article
- Understanding the Pre-Clinical Stages of Parkinson's Disease: Where Are We in Clinical and Research Settings?International journal of molecular sciences · 2025Review
- Machine Learning Framework for Ovarian Cancer Diagnostics Using Plasma Lipidomics and Metabolomics.International journal of molecular sciences · 2025Article
- Sperm metabolomic signatures of asthenozoospermia and teratozoospermia in Chinese reproductive-age men.Scientific reports · 2025Article
- Investigating plasma lipid profiles in association with Parkinson's disease risk.NPJ Parkinson's disease · 2025Review
- Electric-Field Molecular Fingerprinting to Probe Cancer.ACS central science · 2025Article
- Non-Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Machine learning-guided analysis of metabolomic alterations in Parkinson's disease with comorbid symptoms.Frontiers in aging neuroscience · 2025Article
- Identification of metabolomics-based biomarker discovery in individuals with down syndrome utilizing kernel-tree model-enhanced explainable artificial intelligence methodology.Frontiers in molecular biosciences · 2025Article
- Techniques, Databases and Software Used for Studying Polar Metabolites and Lipids of Gastrointestinal Parasites.Animals : an open access journal from MDPI · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
The use of machine learning (ML) with metabolomics provides opportunities for the early diagnosis of disease. However, the accuracy of ML and extent of information obtained from metabolomics can be limited owing to challenges associated with interpreting disease prediction models and analyzing many chemical features with abundances that are correlated and "noisy". Here, we report an interpretable neural network (NN) framework to accurately predict disease and identify significant biomarkers using whole metabolomics data sets without
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.