Cargando…
MSF-UBRW: An Improved Unbalanced Bi-Random Walk Method to Infer Human lncRNA-Disease Associations
Long-non-coding RNA (lncRNA) is a transcription product that exerts its biological functions through a variety of mechanisms. The occurrence and development of a series of human diseases are closely related to abnormal expression levels of lncRNAs. Scientists have developed many computational models...
Autores principales: | Dai, Lingyun, Zhu, Rong, Liu, Jinxing, Li, Feng, Wang, Juan, Shang, Junliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690797/ https://www.ncbi.nlm.nih.gov/pubmed/36360269 http://dx.doi.org/10.3390/genes13112032 |
Ejemplares similares
-
Inferring microRNA-disease association by hybrid recommendation algorithm and unbalanced bi-random walk on heterogeneous network
por: Yu, Dong-Ling, et al.
Publicado: (2019) -
BRWLDA: bi-random walks for predicting lncRNA-disease associations
por: Yu, Guoxian, et al.
Publicado: (2017) -
Finding Lung-Cancer-Related lncRNAs Based on Laplacian Regularized Least Squares With Unbalanced Bi-Random Walk
por: Guo, Zhifeng, et al.
Publicado: (2022) -
Laplacian normalization and bi-random walks on heterogeneous networks for predicting lncRNA-disease associations
por: Wen, Yaping, et al.
Publicado: (2018) -
Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks
por: Wang, Liugen, et al.
Publicado: (2022)