Advancing Regulatory Genomics With Machine Learning
In recent years, several machine learning (ML) approaches have been proposed to predict gene expression signal and chromatin features from the DNA sequence alone. These models are often used to deduce and, to some extent, assess putative new biological insights about gene regulation, and they have l...
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-12-01
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| Series: | Bioinformatics and Biology Insights |
| Online Access: | https://doi.org/10.1177/11779322241249562 |
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