Cargando…
EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction
BACKGROUND: Recent research recommends that epi-transcriptome regulation through post-transcriptional RNA modifications is essential for all sorts of RNA. Exact identification of RNA modification is vital for understanding their purposes and regulatory mechanisms. However, traditional experimental m...
Autores principales: | Wang, Honglei, Liu, Hui, Huang, Tao, Li, Gangshen, Zhang, Lin, Sun, Yanjing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178860/ https://www.ncbi.nlm.nih.gov/pubmed/35676633 http://dx.doi.org/10.1186/s12859-022-04756-1 |
Ejemplares similares
-
EDLm(6)APred: ensemble deep learning approach for mRNA m(6)A site prediction
por: Zhang, Lin, et al.
Publicado: (2021) -
EnsembleSplice: ensemble deep learning model for splice site prediction
por: Akpokiro, Victor, et al.
Publicado: (2022) -
LITHOPHONE: Improving lncRNA Methylation Site Prediction Using an Ensemble Predictor
por: Liu, Lian, et al.
Publicado: (2020) -
Automatic detection of abnormal EEG signals using multiscale features with ensemble learning
por: Wu, Tao, et al.
Publicado: (2022) -
Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning
por: Luo, Zhengtao, et al.
Publicado: (2022)