Cargando…
Developing a Multi-Layer Deep Learning Based Predictive Model to Identify DNA N4-Methylcytosine Modifications
DNA N4-methylcytosine modification (4mC) plays an essential role in a variety of biological processes. Therefore, accurate identification the 4mC distribution in genome-scale is important for systematically understanding its biological functions. In this study, we present Deep4mcPred, a multi-layer...
Autores principales: | Zeng, Rao, Liao, Minghong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186498/ https://www.ncbi.nlm.nih.gov/pubmed/32373597 http://dx.doi.org/10.3389/fbioe.2020.00274 |
Ejemplares similares
-
The RNA Methylation Modification 5-Methylcytosine Impacts Immunity Characteristics, Prognosis and Progression of Oral Squamous Cell Carcinoma by Bioinformatics Analysis
por: Gao, Li, et al.
Publicado: (2021) -
A Bioinformatics Tool for the Prediction of DNA N6-Methyladenine Modifications Based on Feature Fusion and Optimization Protocol
por: Cai, Jianhua, et al.
Publicado: (2020) -
Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams
por: Le, Nguyen Quoc Khanh, et al.
Publicado: (2019) -
A Deep Neural Network for Identifying DNA N4-Methylcytosine Sites
por: Zeng, Feng, et al.
Publicado: (2020) -
Prediction of drug sensitivity based on multi-omics data using deep learning and similarity network fusion approaches
por: Liu, Xiao-Ying, et al.
Publicado: (2023)