Enforcing Co-Expression Within a Brain-Imaging Genomics Regression Framework
Volume: 37, Issue: 12, Pages: 2561 - 2571
Published: Dec 1, 2018
Abstract
Among the challenges arising in brain imaging genetic studies, estimating the potential links between neurological and genetic variability within a population is key. In this paper, we propose a multivariate, multimodal formulation for variable selection that leverages co-expression patterns across various data modalities. Our approach is based on an intuitive combination of two widely used statistical models: sparse regression and canonical...
Paper Details
Title
Enforcing Co-Expression Within a Brain-Imaging Genomics Regression Framework
Published Date
Dec 1, 2018
Volume
37
Issue
12
Pages
2561 - 2571
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