Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Researchers have realized that microRNAs (miRNAs) play significant roles in the pathogenesis of various diseases. Although many computational models have been proposed to predict the associations between miRNAs and diseases, prediction performance could still be improved. In this paper, we propose a...

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Detalles Bibliográficos
Autores principales: Pan, Zhenxia, Zhang, Huaxiang, Liang, Cheng, Li, Guanghui, Xiao, Qiu, Ding, Pingjian, Luo, Jiawei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637211/
https://www.ncbi.nlm.nih.gov/pubmed/31319245
http://dx.doi.org/10.1016/j.omtn.2019.06.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637211/
https://www.ncbi.nlm.nih.gov/pubmed/31319245
http://dx.doi.org/10.1016/j.omtn.2019.06.014

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