A lncRNA-disease association prediction model based on the two-step PU learning and fully connected neural networks

Long non-coding RNAs (lncRNAs) have been shown to play a regulatory role in various processes of human diseases. However, lncRNA experiments are inefficient, time-consuming and highly subjective, so that the number of experimentally verified associations between lncRNA and diseases is limited. In th...

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Detalles Bibliográficos
Autores principales: Biyu, Hou, GuangWen, Tan, Ming, Zeng, Lixin, Guan, Mengshan, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395133/
https://www.ncbi.nlm.nih.gov/pubmed/37539215
http://dx.doi.org/10.1016/j.heliyon.2023.e17726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395133/
https://www.ncbi.nlm.nih.gov/pubmed/37539215
http://dx.doi.org/10.1016/j.heliyon.2023.e17726

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