A split-and-merge deep learning approach for phenotype prediction.
Journal:
Frontiers in bioscience (Landmark edition)
Published Date:
Mar 4, 2022
Abstract
BACKGROUND: Phenotype prediction with genome-wide markers is a critical but difficult problem in biomedical research due to many issues such as nonlinearity of the underlying genetic mapping and high-dimensionality of marker data. When using the deep learning method in the small--large- data, some serious issues occur such as over-fitting, over-parameterization, and biased prediction.