Author

Vuong Le

Deakin UniversityORCID 0000-0003-1582-1269Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metabolomics· 1 Assay:metagenomics· 1

Frequent Co-Authors

Svetha VenkateshiD· 1 shared Thomas P. QuinniD· 1 shared Truyen TraniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Svetha VenkateshORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedJul 1, 2020

Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome

Vuong Le, Thomas P. Quinn, Truyen Tran, Svetha Venkatesh

The paper introduces a sparse neural encoder-decoder network to predict gut metabolites from microbiome data, showing improved accuracy and interpretability over traditional methods.

69 citations

humanmetagenomics

𝕏 PostBluesky