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Deep in the bowel: highly interpretable neural encoder-decoder networks predict gut metabolites from gut microbiome

Le, Vuong, Quinn, Thomas P., Tran, Truyen and Venkatesh, Svetha 2020, Deep in the bowel: highly interpretable neural encoder-decoder networks predict gut metabolites from gut microbiome, BMC Genomics, vol. 21, no. Supplement 4, Proceedings of the Joint International GIW & ABACBS-2019 Conference: genomics (part 2), doi: 10.1186/s12864-020-6652-7.

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Title Deep in the bowel: highly interpretable neural encoder-decoder networks predict gut metabolites from gut microbiome
Author(s) Le, Vuong
Quinn, Thomas P.
Tran, Truyen
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Journal name BMC Genomics
Volume number 21
Issue number Supplement 4
Season Proceedings of the Joint International GIW & ABACBS-2019 Conference: genomics (part 2)
Article ID 256
Total pages 15
Publisher BioMed Central
Place of publication London, Eng.
Publication date 2020-07-20
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Biotechnology & Applied Microbiology
Genetics & Heredity
Metabolomics
Multi-omics
Machine learning
Deep learning
Interpretability
Notes ISSN : 1471-2164
Language eng
DOI 10.1186/s12864-020-6652-7
Indigenous content off
Field of Research 06 Biological Sciences
08 Information and Computing Sciences
11 Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, The Authors
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30142034

Document type: Journal Article
Collections: Open Access Collection
A2I2 (Applied Artificial Intelligence Institute)
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.