Ensemble-Learning and Feature Selection Techniques for Enhanced Antisense Oligonucleotide Efficacy Prediction in Exon Skipping
Antisense oligonucleotide (ASO)-mediated exon skipping has become a valuable tool for investigating gene function and developing gene therapy. Machine-learning-based computational methods, such as eSkip-Finder, have been developed to predict the efficacy of ASOs via exon skipping. However, these met...
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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
MDPI AG,
2023-06-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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