Cargando…
M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble Learning
N6-methyladenosine (m(6)A) modification is the most abundant RNA methylation modification and involves various biological processes, such as RNA splicing and degradation. Recent studies have demonstrated the feasibility of identifying m(6)A peaks using high-throughput sequencing techniques. However,...
Autores principales: | Wei, Leyi, Chen, Huangrong, Su, Ran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Gene & Cell Therapy
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082921/ https://www.ncbi.nlm.nih.gov/pubmed/30081234 http://dx.doi.org/10.1016/j.omtn.2018.07.004 |
Ejemplares similares
-
M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species
por: Qiang, Xiaoli, et al.
Publicado: (2018) -
Identifying N(6)-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine
por: Xing, Pengwei, et al.
Publicado: (2017) -
EDLm(6)APred: ensemble deep learning approach for mRNA m(6)A site prediction
por: Zhang, Lin, et al.
Publicado: (2021) -
M6ATMR: identifying N6-methyladenosine sites through RNA sequence similarity matrix reconstruction guided by Transformer
por: Xiang, Shuang, et al.
Publicado: (2023) -
Gene2vec: gene subsequence embedding for prediction of mammalian N(6)-methyladenosine sites from mRNA
por: Zou, Quan, et al.
Publicado: (2019)