Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species
Abstract
Genomic prediction (GP) is the procedure whereby the genetic merits of untested candidates are predicted using genome wide marker information. Although numerous examples of GP exist in plants and animals, applications to polyploid organisms are still scarce, partly due to limited genome resources and the complexity of this system. Deep learning (DL) techniques comprise a heterogeneous collection of machine learning algorithms that have excelled...
Paper Details
Title
Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species
Published Date
Feb 6, 2020
Journal
Volume
11
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