Author

Tea Knežević

The University of AdelaideORCID 0000-0002-1494-4737Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Organism:yeast· 2 Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander TamiD· 2 shared Benjamin James BinderiD· 2 shared J. E. F. GreeniD· 2 shared Jennifer Margaret GardneriD· 2 shared Vladimir JiranekiD· 2 shared Andrew J. BlackiD· 1 shared Campbell W. GourlayiD· 1 shared Daniel Joseph NetherwoodiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersMicrobiology

Alexander TamORCID

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2 papers

Recent·Most cited

MicrobiologyThe ANZIAM JournalPeer-reviewedJan 1, 2026

Modelling the emergence of spiral colony morphology in the yeast Magnusiomyces magnusii

KAI LI, Andrew J. Black, Tea Knežević…·Alexander Tam

The paper models spiral colony morphology in yeast using an agent-based model and Bayesian inference to infer hyphal growth parameters.

DOI 10.1017/s1446181126100340

yeastdeep learning

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MicrobiologyBulletin of Mathematical BiologyPeer-reviewedJul 17, 2025

Accidental and Regulated Cell Death in Yeast Colony Biofilms

Daniel Joseph Netherwood, Alexander Tam, Campbell W. Gourlay…·J. E. F. Green

This paper develops a continuum model incorporating accidental and regulated cell death to study yeast colony biofilm growth and morphology, showing qualitative agreement with experiments.

2 citations

yeaststatistical model

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