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Interpretable machine learning classifiers implicate GPC6 in Parkinson's disease from single-nuclei midbrain transcriptomes

2024-11-20

Abstract excerpt

Parkinson's disease (PD) is a progressive and devastating neurodegenerative disease. An incomplete understanding of its genetic architecture remains a major barrier to the clinical translation of targeted therapeutics, necessitating novel approaches to uncover elusive genetic determinants. Single-cell and single-nuclear RNA sequencing (scnRNAseq) can help bridge this gap by profiling individual cells for disease-a...

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Literature Corpus work
4ad39af8-5c61-572b-b6e5-ba5121ff74a4
DOI
10.1101/2024.11.19.24317547
Open publication

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Interpretable machine learning classifiers implicate GPC6 in Parkinson's disease from single-nuclei midbrain transcriptomesDOI 10.1101/2024.11.19.24317547
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