DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice-Reference-Cited by-同舟云学术

DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice

Published:2023-05-01 Issue:3 Volume:20 Page:2078-2088
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Islam Tanzila¹^ORCID,Kim Chyon Hae¹^ORCID,Iwata Hiroyoshi²^ORCID,Shimono Hiroyuki³^ORCID,Kimura Akio¹^ORCID

Affiliation:

1. Department of Systems Innovation Engineering, Graduate School of Science and Engineering, Iwate University, Morioka, Iwate, Japan

2. Department of Agricultural and Environmental Biology, The University of Tokyo, Bunkyo, Tokyo, Japan

3. Crop Science Laboratory, Faculty of Agriculture, Iwate University, Morioka, Iwate, Japan

Funder

japan society for the promotion of science Grant in Aid for Scientific Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

Reference51 articles.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献