Author

Tammy Lau

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Assay:DNA methylation· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:statistical model· 2

Frequent Co-Authors

Albi CelajiD· 3 shared Brendan J. Frey· 3 shared Christopher B. ColeiD· 3 shared Alice Jiexin Gao· 2 shared Bhargav KanuparthiiD· 2 shared Brandon VaziD· 2 shared Diane LyiD· 2 shared Farhan YusufiD· 2 shared

Activity by Year

2023-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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

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3 shared papersGenomics

Albi CelajORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Enigma: An Efficient Model for Deciphering Regulatory Genomics

Andreas Jung, Helen Zhu, Roujia Li, Alice Jiexin Gao, Tammy Lau, Vivian S. Chu, Declan Lim, Christopher B. Cole, Leo J. Lee, Albi Celaj, Brendan J. Frey

Enigma is an efficient regulatory genomics model that achieves competitive performance with state-of-the-art models while significantly reducing computational cost.

bioRxiv · Dec 19, 2025 · PreprintGenomics

CARD k-mers: Unmasking the pathogen hosts and genomic contexts of antimicrobial resistance genes in metagenomic sequences

Mateusz A. Wlodarski, Tammy Lau, Brian P. Alcock, Amogelang R. Raphenya, Tiffany E. Ta, Finlay Maguire, Robert Gerald Beiko, Andrew G. McArthur

CARD k-mers classifies antimicrobial resistance genes in metagenomic data by predicting taxonomy and genomic context, outperforming existing tools in accuracy and speed.

bioRxiv · Sep 15, 2025 · PreprintBioinformatics

Sequence based prediction of cell type specific microRNA binding and mRNA degradation for therapeutic discovery

Bhargav Kanuparthi, Sara E. Pour, Scott D. Findlay, Omar Wagih, Jahir M. Gutierrez, Rory Gao, Jeff A. Wintersinger, Jiun-Nong Lin, Martino Gabra, Emma Bohn, Tammy Lau, Chris Cole, Andrew Jung, Albi Celaj, Fraser Soares, , Brendan J. Frey

This paper introduces REPRESS, a deep learning model that predicts cell-type-specific microRNA binding and mRNA degradation from RNA sequences, outperforming existing methods in multiple tasks.

bioRxiv · May 15, 2025 · PreprintGenomics

An RNA foundation model enables discovery of disease mechanisms and candidate therapeutics

Albi Celaj, Alice Jiexin Gao, Tammy Lau, Erle M. Holgersen, Alston Lo, Varun Lodaya, Christopher B. Cole, Robert Edward Denroche, Carl Spickett, Omar Wagih, Pedro O. Pinheiro, Parth Vora, Pedrum Mohammadi‐Shemirani, Steve Chan, Zach Nussbaum, , Brendan J. Frey

The paper introduces BigRNA, an RNA foundation model that predicts RNA biology from DNA sequence and identifies therapeutic effects of SBOs on gene expression and splicing.

bioRxiv · Sep 20, 2023 · PreprintBioinformatics