相关实验视频

Updated: Jun 11, 2025

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

18.9K

基于LD的深度学习用于使用WGS数据检测阿尔茨海默氏症基因位置

Taeho Jo1, Paula Bice1, Kwangsik Nho1,2

  • 1Indiana Alzheimer Disease Research Center and Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA.

medRxiv : the preprint server for health sciences
|October 7, 2024
PubMed
概括

一个新的AI框架Deep-Block通过分析大型基因组数据集来识别阿尔茨海默病 (AD) 的遗传因素. 它确定了与AD风险相关的已知的和新的遗传变异.

关键词:
阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.深度学习 (Deep Learning) 是一种深度学习.遗传局部位置 遗传局部位置计入方法 计入方法链接不平衡 链接不平衡全基因组测序是指全基因组测序.

更多相关视频

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

979
Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease04:22

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Published on: May 20, 2024

779

相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.2K