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About Deep Learning Models in Genomics Are We There Yet?: Lefteris Koumakis
This document reviews the use of deep learning models in genomics. It discusses how advances in deep learning have created opportunities for analyzing vast amounts of genomics data produced through high-throughput sequencing. Deep learning models have been shown to provide higher accuracy than other methods for certain genomics tasks. However, limitations remain, including data requirements and interpretability challenges. The document outlines prominent deep learning architectures used in genomics and directions for future research, such as multi-scale and multimodal data analysis to support precision medicine.
Detailed Information
| Author: | ['Cony GS'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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