Cargando…
Accurate prediction of DNA N(4)-methylcytosine sites via boost-learning various types of sequence features
BACKGROUND: DNA N4-methylcytosine (4mC) is a critical epigenetic modification and has various roles in the restriction-modification system. Due to the high cost of experimental laboratory detection, computational methods using sequence characteristics and machine learning algorithms have been explor...
Autores principales: | Zhao, Zhixun, Zhang, Xiaocai, Chen, Fang, Fang, Liang, Li, Jinyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488740/ https://www.ncbi.nlm.nih.gov/pubmed/32917152 http://dx.doi.org/10.1186/s12864-020-07033-8 |
Ejemplares similares
-
Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning
por: Yu, Lezheng, et al.
Publicado: (2022) -
A Deep Neural Network for Identifying DNA N4-Methylcytosine Sites
por: Zeng, Feng, et al.
Publicado: (2020) -
Accurate estimation of 5-methylcytosine in mammalian mitochondrial DNA
por: Matsuda, Shigeru, et al.
Publicado: (2018) -
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces
por: Zheng, Yi, et al.
Publicado: (2019) -
Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation()
por: Khanal, Jhabindra, et al.
Publicado: (2021)