Ensemble-Learning and Feature Selection Techniques for Enhanced Antisense Oligonucleotide Efficacy Prediction in Exon Skipping

• Main Authors: Alex Zhu (Author), Shuntaro Chiba (Author), Yuki Shimizu (Author), Katsuhiko Kunitake (Author), Yasushi Okuno (Author), Yoshitsugu Aoki (Author), Toshifumi Yokota (Author)
• Format: Book
• Published: MDPI AG, 2023-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...