Author

Tyrone Chen

The University of MelbourneORCID 0000-0002-9207-0385Unclaimed ORCID profile · follow to get notified of new preprints

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Tyrone Chen1 paper

Biology Disciplines

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Bioinformatics· 2 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Anne K. LagendijkiD· 1 shared Anne SenabouthiD· 1 shared Anton Yariv PelegiD· 1 shared Benjamin M. HoganiD· 1 shared Chris M. PachecoiD· 1 shared Christine Anne WellsiD· 1 shared Eleanor Cummins· 1 shared Elizabeth A. MasoniD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperDevelopmental Biology

Anne K. LagendijkORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 31, 2023

genomicBERT: A Light-weight Foundation Model for Genome Analysis using Unigram Tokenization and Specialized DNA Vocabulary

Tyrone Chen, Naima Vahab, Navya Tyagi…·Sonika Tyagi

This paper introduces genomicBERT, a lightweight genome analysis model that improves efficiency and performance through specialized DNA vocabulary and tokenization, validated across diverse case studies.

8 citations

DNA methylationwhole-genome sequencing

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Developmental BiologyThe EMBO JournalPeer-reviewedMar 13, 2023

Single cell analysis of lymphatic endothelial cell fate specification and differentiation during zebrafish development

Lin Grimm, Elizabeth A. Mason, Hujun Yu…·Benjamin M. Hogan

This study uses single-cell transcriptomics to investigate Prox1's role in lymphatic endothelial cell fate specification and differentiation in zebrafish, identifying new transcriptional targets and regulatory mechanisms.

36 citationstop 4%

zebrafishscRNA-seq

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BioinformaticsPLoS Computational BiologyPeer-reviewedSep 28, 2020

A simple, scalable approach to building a cross-platform transcriptome atlas

Paul W. Angel, Nadia Rajab, Yidi Deng…·Christine Anne Wells

The paper integrates hundreds of transcriptome datasets from multiple platforms to create a cross-platform blood cell atlas, enabling robust cell type clustering without batch correction.

23 citations

humanbulk RNA-seq

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