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About Deep Learning in Bioinformatics: Seonwoo Min, Byunghan Lee and Sungroh Yoon
This document reviews the application of deep learning techniques in bioinformatics. It categorizes recent research examples by bioinformatics domain (omics, biomedical imaging, biomedical signal processing) and deep learning architecture type (deep neural networks, convolutional neural networks, recurrent neural networks, emergent architectures). The review discusses key elements of deep learning like network construction and training. It aims to provide insight into how deep learning can extract knowledge from biological big data and help advance research.
Detailed Information
| Author: | ['Syahrul Chotamy AZ'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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