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...

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Detalles Bibliográficos
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:
Research Paper
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

Internet

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

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