A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets

Published: Apr 29, 2020
Abstract
In recent years, a comprehensive study of multi-view datasets (e.g., multi-omics and imaging scans) has been a focus and forefront in biomedical research. State-of-the-art biomedical technologies are enabling us to collect multi-view biomedical datasets for the study of complex diseases. While all the views of data tend to explore complementary information of a disease, multi-view data analysis with complex interactions is challenging for a...
Paper Details
Title
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets
Published Date
Apr 29, 2020
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