Cargando…
DeepMethylation: a deep learning based framework with GloVe and Transformer encoder for DNA methylation prediction
DNA methylation is a crucial topic in bioinformatics research. Traditional wet experiments are usually time-consuming and expensive. In contrast, machine learning offers an efficient and novel approach. In this study, we propose DeepMethylation, a novel methylation predictor with deep learning. Spec...
Autores principales: | Wang, Zhe, Xiang, Sen, Zhou, Chao, Xu, Qing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538282/ https://www.ncbi.nlm.nih.gov/pubmed/37780374 http://dx.doi.org/10.7717/peerj.16125 |
Ejemplares similares
-
An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource
por: Ibrahim, Mohammed, et al.
Publicado: (2021) -
Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings
por: Curto, Georgina, et al.
Publicado: (2022) -
SSMFN: a fused spatial and sequential deep learning model for methylation site prediction
por: Lumbanraja, Favorisen Rosyking, et al.
Publicado: (2021) -
Deep Learning Encoding for Rapid Sequence Identification on Microbiome Data
por: Borgman, Jacob, et al.
Publicado: (2022) -
A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures
por: Bell-Glenn, Shelby, et al.
Publicado: (2022)