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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Detalles Bibliográficos
Autores principales: Zhu, Alex, Chiba, Shuntaro, Shimizu, Yuki, Kunitake, Katsuhiko, Okuno, Yasushi, Aoki, Yoshitsugu, Yokota, Toshifumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384346/
https://www.ncbi.nlm.nih.gov/pubmed/37513994
http://dx.doi.org/10.3390/pharmaceutics15071808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384346/
https://www.ncbi.nlm.nih.gov/pubmed/37513994
http://dx.doi.org/10.3390/pharmaceutics15071808

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