LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities

Emerging evidence has shown microRNAs (miRNAs) play an important role in human disease research. Identifying potential association among them is significant for the development of pathology, diagnose and therapy. However, only a tiny portion of all miRNA-disease pairs in the current datasets are exp...

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Detalles Bibliográficos
Autores principales: Wang, Lei, You, Zhu-Hong, Chen, Xing, Li, Yang-Ming, Dong, Ya-Nan, Li, Li-Ping, Zheng, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6464243/
https://www.ncbi.nlm.nih.gov/pubmed/30917115
http://dx.doi.org/10.1371/journal.pcbi.1006865

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6464243/
https://www.ncbi.nlm.nih.gov/pubmed/30917115
http://dx.doi.org/10.1371/journal.pcbi.1006865

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