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

2024-12-16

Abstract excerpt

<title>Abstract</title> <p>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 in...

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Literature Corpus work
483d3eed-2595-585b-a5cb-f1d9839450c7
DOI
10.21203/rs.3.rs-5471740/v1
Open publication

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Interpretable machine learning classifiers implicate GPC6 in Parkinson’s disease from single-nuclei midbrain transcriptomesDOI 10.21203/rs.3.rs-5471740/v1
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