Predicting drug−disease associations via sigmoid kernel-based convolutional neural networks

BACKGROUND: In the process of drug development, computational drug repositioning is effective and resource-saving with regards to its important functions on identifying new drug–disease associations. Recent years have witnessed a great progression in the field of data mining with the advent of deep...

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Detalles Bibliográficos
Autores principales: Jiang, Han-Jing, You, Zhu-Hong, Huang, Yu-An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868698/
https://www.ncbi.nlm.nih.gov/pubmed/31747915
http://dx.doi.org/10.1186/s12967-019-2127-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868698/
https://www.ncbi.nlm.nih.gov/pubmed/31747915
http://dx.doi.org/10.1186/s12967-019-2127-5

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