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Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning

Motivation: Recent advances in brain imaging and high-throughput genotyping techniques enable new approaches to study the influence of genetic and anatomical variations on brain functions and disorders. Traditional association studies typically perform independent and pairwise analysis among neuroim...

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Библиографические подробности
Главные авторы: Wang, Hua, Nie, Feiping, Huang, Heng, Risacher, Shannon L., Saykin, Andrew J., Shen, Li
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2012
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3371860/
https://ncbi.nlm.nih.gov/pubmed/22689752
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts228
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