Asymmetric trichotomous partitioning overcomes dataset limitations in building machine learning models for predicting siRNA efficacy

Chemically modified small interfering RNAs (siRNAs) are promising therapeutics guiding sequence-specific silencing of disease genes. Identifying chemically modified siRNA sequences that effectively silence target genes remains challenging. Such determinations necessitate computational algorithms. Ma...

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Detalles Bibliográficos
Autores principales: Monopoli, Kathryn R., Korkin, Dmitry, Khvorova, Anastasia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338369/
https://www.ncbi.nlm.nih.gov/pubmed/37456778
http://dx.doi.org/10.1016/j.omtn.2023.06.010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338369/
https://www.ncbi.nlm.nih.gov/pubmed/37456778
http://dx.doi.org/10.1016/j.omtn.2023.06.010

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