SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease Representation

SIMPLE SUMMARY: Predicting possible associations between miRNAs and diseases would provide new perspectives on disease diagnosis, pathogenesis, and gene therapy. In this work, considering the limited accessibility, high time consumption and high cost in traditional biological researches, we presente...

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Detalles Bibliográficos
Autores principales: Ji, Bo-Ya, Pan, Liang-Rui, Zhou, Ji-Ren, You, Zhu-Hong, Peng, Shao-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138858/
https://www.ncbi.nlm.nih.gov/pubmed/35625505
http://dx.doi.org/10.3390/biology11050777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138858/
https://www.ncbi.nlm.nih.gov/pubmed/35625505
http://dx.doi.org/10.3390/biology11050777

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