Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis

MOTIVATION: Neuroimaging genetics identifies the relationships between genetic variants (i.e., the single nucleotide polymorphisms) and brain imaging data to reveal the associations from genotypes to phenotypes. So far, most existing machine-learning approaches are widely used to detect the effectiv...

詳細記述

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書誌詳細
出版年:Bioinformatics
主要な著者: Hao, Xiaoke, Li, Chanxiu, Yan, Jingwen, Yao, Xiaohui, Risacher, Shannon L, Saykin, Andrew J, Shen, Li, Zhang, Daoqiang
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2017
主題:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5870577/
https://ncbi.nlm.nih.gov/pubmed/28881979
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx245
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