Deep metabolome: Applications of deep learning in metabolomics-Reference-Cited by-同舟云学术

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Deep metabolome: Applications of deep learning in metabolomics

Published:2020 Issue: Volume:18 Page:2818-2825
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Pomyen Yotsawat,Wanichthanarak Kwanjeera,Poungsombat Patcha,Fahrmann Johannes,Grapov Dmitry,Khoomrung Sakda

Funder

Faculty of Medicine Siriraj Hospital, Mahidol University

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference106 articles.

1. Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine;Grapov;OMICS,2018

2. Analysis of metabolomic data: tools, current strategies and future challenges for omics data integration;Cambiaghi;Briefings Bioinf,2016

3. LC-MS alignment in theory and practice: a comprehensive algorithmic review;Smith;Briefings Bioinf,2013

4. Analytical methods in untargeted metabolomics: state of the art in 2015;Alonso;Front Bioeng Biotechnol,2015

5. Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches;Nguyen;Briefings Bioinf,2018

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