Cargando…
miRBind: A Deep Learning Method for miRNA Binding Classification
The binding of microRNAs (miRNAs) to their target sites is a complex process, mediated by the Argonaute (Ago) family of proteins. The prediction of miRNA:target site binding is an important first step for any miRNA target prediction algorithm. To date, the potential for miRNA:target site binding is...
Autores principales: | Klimentová, Eva, Hejret, Václav, Krčmář, Ján, Grešová, Katarína, Giassa, Ilektra-Chara, Alexiou, Panagiotis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777820/ https://www.ncbi.nlm.nih.gov/pubmed/36553590 http://dx.doi.org/10.3390/genes13122323 |
Ejemplares similares
-
Small RNA Targets: Advances in Prediction Tools and High-Throughput Profiling
por: Grešová, Katarína, et al.
Publicado: (2022) -
Using Attribution Sequence Alignment to Interpret Deep Learning Models for miRNA Binding Site Prediction
por: Grešová, Katarína, et al.
Publicado: (2023) -
Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements
por: Giassa, Ilektra-Chara, et al.
Publicado: (2021) -
RBinds: A user-friendly server for RNA binding site prediction
por: Wang, Huiwen, et al.
Publicado: (2020) -
Genomic benchmarks: a collection of datasets for genomic sequence classification
por: Grešová, Katarína, et al.
Publicado: (2023)