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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Bibliographic Details
Main Authors: Yotsawat Pomyen, Kwanjeera Wanichthanarak, Patcha Poungsombat, Johannes Fahrmann, Dmitry Grapov, Sakda Khoomrung
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
NMR
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037020304177