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Addressing Missing Heritability in Synucleinopathies with Bioinformatics and Machine Learning

Addressing Missing Heritability in Synucleinopathies with Bioinformatics and Machine Learning
利用生物信息学和机器学习解决突触核蛋白病遗传性缺失的问题
批准号：
458783
负责人：
Yu Eric
金额：
$7.65万
依托单位：
McGill University
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2021
资助国家：
加拿大
项目状态：
已结题
起止时间：
2021-11-01 至 2024-11-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=458783&lang=en
关键词：
Bioinformatics Copy-Number Variations Genomics And Genetics Machine Learning Neurogenetics Parkinson'S Disease Personalized Medicine Synucleinopathies Transcriptome-Wide Association Studies Whole-Genome Sequencing

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英文摘要
Parkinson's disease (PD) is the second most common neurodegenerative disease, affecting 1 to 2% of the population older than 60 years. It belongs to a group of diseases called synucleinopathies which mainly include PD, dementia with Lewy bodies (DLB) and
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