Author

Alexandra “Sasha” Gavryushkina

University of CanterburyORCID 0000-0002-1885-1108Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:phylogenetics / evolution· 2 Research Focus:benchmarking· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alex GavryushkiniD· 2 shared Timothy G. VaughaniD· 2 shared Bethany J. AlleniD· 1 shared Holly R. PinkneyiD· 1 shared Kate TrumaniD· 1 shared Sarah D. DiermeieriD· 1 shared Tanja StadleriD· 1 shared Ugnė StolziD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 12 mutual co-author links

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2 shared papersCancer Biology

Alex GavryushkinORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Filtering for highly variable genes and high quality spots improves phylogenetic analysis of cancer spatial transcriptomics Visium data

Alexandra “Sasha” Gavryushkina, Holly R. Pinkney, Sarah D. Diermeier, Alex Gavryushkin

Journal of Computational Biology · Jun 11, 2025Peer-reviewedCancer Biology

Enhancing Evolutionary Timelines: The Impact of Stratigraphic Range Information on Phylogenetic Inference

Ugnė Stolz, Alexandra “Sasha” Gavryushkina, Timothy G. Vaughan, Tanja Stadler, Bethany J. Allen

This paper introduces the SRFBD model to improve phylogenetic inference by incorporating stratigraphic range data, showing it produces older divergence times and higher sampling proportions compared to the FBD model.

bioRxiv · Apr 17, 2025 · PreprintEvolutionary Biology

The Fossilised Birth-Death Model is Identifiable

Kate Truman, Timothy G. Vaughan, Alex Gavryushkin, Alexandra “Sasha” Gavryushkina

The paper proves that time-dependent fossilised birth-death models are identifiable, but shows that adding a removal after sampling parameter makes them unidentifiable.

Systematic Biology · Oct 17, 2024Peer-reviewedEvolutionary Biology