Deep metabolome: Applications of deep learning in metabolomics

In the past few years, deep learning has been successfully applied to various omics data. However, the applications of deep learning in metabolomics are still relatively low compared to others omics. Currently, data pre-processing using convolutional neural network architecture appears to benefit th...

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Detalles Bibliográficos
Autores principales: Pomyen, Yotsawat, Wanichthanarak, Kwanjeera, Poungsombat, Patcha, Fahrmann, Johannes, Grapov, Dmitry, Khoomrung, Sakda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575644/
https://www.ncbi.nlm.nih.gov/pubmed/33133423
http://dx.doi.org/10.1016/j.csbj.2020.09.033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575644/
https://www.ncbi.nlm.nih.gov/pubmed/33133423
http://dx.doi.org/10.1016/j.csbj.2020.09.033

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