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Developing a molecular network map of GABAergic neuron subtypes from single nucleus data to identify drivers of Alzheimer's disease and late-life depression

Developing a molecular network map of GABAergic neuron subtypes from single nucleus data to identify drivers of Alzheimer's disease and late-life depression
根据单核数据开发 GABA 能神经元亚型的分子网络图，以识别阿尔茨海默病和晚年抑郁症的驱动因素
批准号：
413074
负责人：
Marshe Victoria S
金额：
$10.93万
依托单位：
Columbia University (New York)
依托单位国家：
加拿大
项目类别：
Fellowship Programs
财政年份：
2019
资助国家：
加拿大
项目状态：
已结题
起止时间：
2019-10-01 至 2022-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=413074&lang=en
关键词：
Alzheimer'S Diease Co-Expression Networks Gaba Late-Life Depression Machine Learning Prediction Single-Nucle Rna Sequencing

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英文摘要
Alzheimer's disease (AD) is a complex neurodegenerative disorder, affecting 35.6 million people worldwide in 2010 and projected to double in prevalence every 20 years, with a prevalence of 115.4 million by 2050. Late-life depression (LLD; onset greater th
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Exploring the shared multi-omic architecture of late-life depression and cognitive decline: Discovering and predicting biologically-defined patient subtypes using machine learning
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