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Semi-supervised learning for potential human microRNA-disease associations inference

MicroRNAs play critical role in the development and progression of various diseases. Predicting potential miRNA-disease associations from vast amount of biological data is an important problem in the biomedical research. Considering the limitations in previous methods, we developed Regularized Least...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Chen, Xing, Yan, Gui-Ying
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group 2014
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4074792/
https://ncbi.nlm.nih.gov/pubmed/24975600
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep05501
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