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Bi-level Multi-Source Learning for Heterogeneous Block-wise Missing Data

Bio-imaging technologies allow scientists to collect large amounts of high-dimensional data from multiple heterogeneous sources for many biomedical applications. In the study of Alzheimer's Disease (AD), neuroimaging data, gene/protein expression data, etc., are often analyzed together to impro...

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Detalhes bibliográficos
Main Authors: Xiang, Shuo, Yuan, Lei, Fan, Wei, Wang, Yalin, Thompson, Paul M., Ye, Jieping
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3937297/
https://ncbi.nlm.nih.gov/pubmed/23988272
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2013.08.015
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