ICLRBBN: a tool for accurate prediction of potential lncRNA disease associations

Growing evidence has elucidated that long non-coding RNAs (lncRNAs) are involved in a variety of complex diseases in human bodies. In recent years, it has become a hot topic to develop effective computational models to identify potential lncRNA-disease associations. In this article, a novel method c...

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Detalles Bibliográficos
Autores principales: Wang, Yuqi, Li, Hao, Kuang, Linai, Tan, Yihong, Li, Xueyong, Zhang, Zhen, Wang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806946/
https://www.ncbi.nlm.nih.gov/pubmed/33510939
http://dx.doi.org/10.1016/j.omtn.2020.12.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806946/
https://www.ncbi.nlm.nih.gov/pubmed/33510939
http://dx.doi.org/10.1016/j.omtn.2020.12.002

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