Deep learning for plant genomics and crop improvement

Volume: 54, Pages: 34 - 41
Published: Apr 1, 2020
Abstract
Our era has witnessed tremendous advances in plant genomics, characterized by an explosion of high-throughput techniques to identify multi-dimensional genome-wide molecular phenotypes at low costs. More importantly, genomics is not merely acquiring molecular phenotypes, but also leveraging powerful data mining tools to predict and explain them. In recent years, deep learning has been found extremely effective in these tasks. This review...
Paper Details
Title
Deep learning for plant genomics and crop improvement
Published Date
Apr 1, 2020
Volume
54
Pages
34 - 41
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