Cargando…
Discovering miRNAs Associated With Multiple Sclerosis Based on Network Representation Learning and Deep Learning Methods
Identifying biomarkers of Multiple Sclerosis is important for the diagnosis and treatment of Multiple Sclerosis. The existing study has shown that miRNA is one of the most important biomarkers for diseases. However, few existing methods are designed for predicting Multiple Sclerosis-related miRNAs....
Autores principales: | Sun, Xiaoping, Ren, Xingshuai, Zhang, Jie, Nie, Yunzhi, Hu, Shan, Yang, Xiao, Jiang, Shoufeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152287/ https://www.ncbi.nlm.nih.gov/pubmed/35656318 http://dx.doi.org/10.3389/fgene.2022.899340 |
Ejemplares similares
-
Prediction of potential small molecule−miRNA associations based on heterogeneous network representation learning
por: Li, Jianwei, et al.
Publicado: (2022) -
Discovering Cerebral Ischemic Stroke Associated Genes Based on Network Representation Learning
por: Liu, Haijie, et al.
Publicado: (2021) -
Discovering functional impacts of miRNAs in cancers using a causal deep learning model
por: Chen, Lujia, et al.
Publicado: (2018) -
Predicting the Disease Genes of Multiple Sclerosis Based on Network Representation Learning
por: Liu, Haijie, et al.
Publicado: (2020) -
Machine Learning Based Network Analysis Determined Clinically Relevant miRNAs in Breast Cancer
por: Qiu, Min, et al.
Publicado: (2020)