Cargando…
GLNMDA: a novel method for miRNA-disease association prediction based on global linear neighborhoods
Recently, increasing studies have shown that miRNAs are involved in the development and progression of various complex diseases. Consequently, predicting potential miRNA-disease associations makes an important contribution to understanding the pathogenesis of diseases, developing new drugs as well a...
Autores principales: | Yu, Sheng-Peng, Liang, Cheng, Xiao, Qiu, Li, Guang-Hui, Ding, Ping-Jian, Luo, Jia-Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284594/ https://www.ncbi.nlm.nih.gov/pubmed/30244645 http://dx.doi.org/10.1080/15476286.2018.1521210 |
Ejemplares similares
-
MCLPMDA: A novel method for miRNA‐disease association prediction based on matrix completion and label propagation
por: Yu, Sheng‐Peng, et al.
Publicado: (2018) -
LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination
por: Zhang, Wen, et al.
Publicado: (2019) -
MILNP: Plant lncRNA–miRNA Interaction Prediction Based on Improved Linear Neighborhood Similarity and Label Propagation
por: Cai, Lijun, et al.
Publicado: (2022) -
Identifying and Exploiting Potential miRNA-Disease Associations With Neighborhood Regularized Logistic Matrix Factorization
por: He, Bin-Sheng, et al.
Publicado: (2018) -
Neighborhood-based inference and restricted Boltzmann machine for small molecule-miRNA associations prediction
por: Qu, Jia, et al.
Publicado: (2023)