当前位置: X-MOL 学术Bioinformatics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Genome-wide Association Studies of Brain Imaging Data via Weighted Distance Correlation.
Bioinformatics ( IF 4.4 ) Pub Date : 2020-07-03 , DOI: 10.1093/bioinformatics/btaa612
Canhong Wen 1 , Yuhui Yang 1 , Quan Xiao 1 , Meiyan Huang 2 , Wenliang Pan 3 ,
Affiliation  

Imaging genetics is mainly used to reveal the pathogenesis of neuropsychiatric risk genes and understand the relationship between human brain structure, functional and individual differences. Increasingly, the brain-wide imaging phenotypes in voxels are available to test the association with genetic markers. A challenge with analyzing such data is their high dimensionality and complex relationships.

中文翻译:

通过加权距离相关性进行脑成像数据的全基因组关联研究。

影像遗传学主要用于揭示神经精神危险基因的发病机制,了解人类大脑结构、功能和个体差异之间的关系。越来越多的体素全脑成像表型可用于测试与遗传标记的关联。分析此类数据的一个挑战是它们的高维性和复杂的关系。
更新日期:2020-07-03
down
wechat
bug