LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction

Predicting novel microRNA (miRNA)-disease associations is clinically significant due to miRNAs’ potential roles of diagnostic biomarkers and therapeutic targets for various human diseases. Previous studies have demonstrated the viability of utilizing different types of biological data to computation...

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Detalles Bibliográficos
Autores principales: Chen, Xing, Huang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749861/
https://www.ncbi.nlm.nih.gov/pubmed/29253885
http://dx.doi.org/10.1371/journal.pcbi.1005912

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749861/
https://www.ncbi.nlm.nih.gov/pubmed/29253885
http://dx.doi.org/10.1371/journal.pcbi.1005912

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