Author

Truyen Tran

Deakin UniversityORCID 0000-0001-6531-8907Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:metabolomics· 1 Assay:metagenomics· 1

Frequent Co-Authors

Svetha VenkateshiD· 2 shared Thomas P. QuinniD· 2 shared Buu Minh Thanh TruongiD· 1 shared Sam LeeiD· 1 shared Thin NguyeniD· 1 shared Thuc Duy LeiD· 1 shared Vuong LeiD· 1 shared Xiaomei LiiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Svetha VenkateshORCID

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2 papers

Recent·Most cited

BioinformaticsIEEE Transactions on Computational Biology and BioinformaticsPeer-reviewedApr 28, 2021

PAN: Personalized Annotation-based Networks for the Prediction of Breast Cancer Relapse

Thin Nguyen, Sam Lee, Thomas P. Quinn…·Thuc Duy Le

This paper introduces PAN, a method to create sample-specific gene networks using annotations, improving breast cancer relapse prediction compared to existing methods.

9 citations

humanbulk RNA-seq

𝕏 PostBluesky

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