Article
DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Islam Tanzila, Kim Chyon Hae, Iwata Hiroyoshi, Shimono Hiroyuki, Kimura Akio
Abstract excerpt
Genomic selection (GS) is expected to accelerate plant and animal breeding. During the last decade, genome-wide polymorphism data have increased, which has raised concerns about storage cost and computational time. Several individual studies have attempted to compress the genome data and predict phenotypes. However, compression models lack adequate quality of data after compression, and prediction models are time...
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