Cargando…
Machine learning for small interfering RNAs: a concise review of recent developments
The advent of machine learning and its subsequent integration into small interfering RNA (siRNA) research heralds a new epoch in the field of RNA interference (RNAi). This review emphasizes the urgency and relevance of assimilating the plethora of contributions and advancements in this domain, parti...
Autor principal: | Lee, Minhyeok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372481/ https://www.ncbi.nlm.nih.gov/pubmed/37519887 http://dx.doi.org/10.3389/fgene.2023.1226336 |
Ejemplares similares
-
Development of Therapeutic-Grade Small Interfering RNAs by Chemical Engineering
por: Bramsen, Jesper B., et al.
Publicado: (2012) -
Machine learning in the development of targeting microRNAs in human disease
por: Luo, Yuxun, et al.
Publicado: (2023) -
Identification and Analysis of Small Interfering RNAs Associated With Heat Stress in Flowering Chinese Cabbage Using High-Throughput Sequencing
por: Ahmed, Waqas, et al.
Publicado: (2021) -
Small interfering RNAs on top
Publicado: (2004) -
Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments
por: Kim, Yoojoong, et al.
Publicado: (2023)