Cargando…
Multiview Consensus Graph Learning for lncRNA–Disease Association Prediction
Long noncoding RNAs (lncRNAs) are a class of noncoding RNA molecules longer than 200 nucleotides. Recent studies have uncovered their functional roles in diverse cellular processes and tumorigenesis. Therefore, identifying novel disease-related lncRNAs might deepen our understanding of disease etiol...
Autores principales: | Tan, Haojiang, Sun, Quanmeng, Li, Guanghui, Xiao, Qiu, Ding, Pingjian, Luo, Jiawei, Liang, Cheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047769/ https://www.ncbi.nlm.nih.gov/pubmed/32153646 http://dx.doi.org/10.3389/fgene.2020.00089 |
Ejemplares similares
-
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks
por: Ma, Yuzhou, et al.
Publicado: (2023) -
Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data
por: Li, Guanghui, et al.
Publicado: (2022) -
Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder
por: Huang, Yu-An, et al.
Publicado: (2019) -
Predicting lncRNA–Protein Interaction With Weighted Graph-Regularized Matrix Factorization
por: Sun, Xibo, et al.
Publicado: (2021) -
Kernelized multiview signed graph learning for single-cell RNA sequencing data
por: Karaaslanli, Abdullah, et al.
Publicado: (2023)