Cargando…
SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction
Aberrant expression of microRNAs (miRNAs) can be applied for the diagnosis, prognosis, and treatment of human diseases. Identifying the relationship between miRNA and human disease is important to further investigate the pathogenesis of human diseases. However, experimental identification of the ass...
Autores principales: | Li, Xiaoying, Lin, Yaping, Gu, Changlong, Li, Zejun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884242/ https://www.ncbi.nlm.nih.gov/pubmed/29750163 http://dx.doi.org/10.1155/2018/5747489 |
Ejemplares similares
-
Micro-blog user community discovery using generalized SimRank edge weighting method
por: Qi, Jinshan, et al.
Publicado: (2018) -
Correction: Micro-blog user community discovery using generalized SimRank edge weighting method
Publicado: (2018) -
FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs
por: Li, Xiaoying, et al.
Publicado: (2019) -
Simrank: Rapid and sensitive general-purpose k-mer search tool
por: DeSantis, Todd Z, et al.
Publicado: (2011) -
Prediction of disease-related miRNAs by voting with multiple classifiers
por: Gu, Changlong, et al.
Publicado: (2023)