A Guide for Using Deep Learning for Complex Trait Genomic Prediction
Abstract
Deep learning (DL) has emerged as a powerful tool to make accurate predictions from complex data such as image, text, or video. However, its ability to predict phenotypic values from molecular data is less well studied. Here, we describe the theoretical foundations of DL and provide a generic code that can be easily modified to suit specific needs. DL comprises a wide variety of algorithms which depend on numerous hyperparameters. Careful...
Paper Details
Title
A Guide for Using Deep Learning for Complex Trait Genomic Prediction
Published Date
Jul 20, 2019
Journal
Volume
10
Issue
7
Pages
553 - 553
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