Cargando…
A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier
BACKGROUND: Since the number of known lncRNA-disease associations verified by biological experiments is quite limited, it has been a challenging task to uncover human disease-related lncRNAs in recent years. Moreover, considering the fact that biological experiments are very expensive and time-consu...
Autores principales: | Yu, Jingwen, Xuan, Zhanwei, Feng, Xiang, Zou, Quan, Wang, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637631/ https://www.ncbi.nlm.nih.gov/pubmed/31315558 http://dx.doi.org/10.1186/s12859-019-2985-0 |
Ejemplares similares
-
A Novel Probability Model for LncRNA–Disease Association Prediction Based on the Naïve Bayesian Classifier
por: Yu, Jingwen, et al.
Publicado: (2018) -
A Probabilistic Matrix Factorization Method for Identifying lncRNA-Disease Associations
por: Xuan, Zhanwei, et al.
Publicado: (2019) -
A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration
por: Xuan, Zhanwei, et al.
Publicado: (2019) -
A Novel Network-Based Computational Model for Prediction of Potential LncRNA–Disease Association
por: Liu, Yang, et al.
Publicado: (2019) -
lncRNA-disease association prediction based on matrix decomposition of elastic network and collaborative filtering
por: Wang, Bo, et al.
Publicado: (2022)