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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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Detalles Bibliográficos
Autores principales: Wang, Hua, Nie, Feiping, Huang, Heng, Risacher, Shannon L., Saykin, Andrew J., Shen, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371860/
https://www.ncbi.nlm.nih.gov/pubmed/22689752
http://dx.doi.org/10.1093/bioinformatics/bts228