Author

Felix Marsh‐Wakefield

The University of SydneyORCID 0000-0002-6839-7628Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:CITE-seq· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Thomas M. AshhurstiD· 4 shared Givanna PutriiD· 3 shared Agus SalimiD· 1 shared Angela Ferguson· 1 shared Angli XueiD· 1 shared Belinda PhipsoniD· 1 shared Claire Leana WishartiD· 1 shared Colista Tsao· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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4 shared papersBioinformatics

Thomas M. AshhurstORCID

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Author profile →

4 papers

Recent·Most cited

An open multimodal spatial resource integrating same-tissue transcriptomics, proteomics, and histology

Emily Duchini, Colista Tsao, Jason Madore, Thomas M. Ashhurst, Jeneffer De Almeida Silva, Joo‐Shik Shin, Ruta Gupta, Geoffrey William McCaughan, Umaimainthan Palendira, Ken Liu, Angela Ferguson, Felix Marsh‐Wakefield

The paper presents a workflow and dataset integrating spatial transcriptomics, proteomics, and histology on the same tissue section, along with an open-source tool for multimodal data analysis.

bioRxiv · Aug 21, 2026 · PreprintImmunology

Identifying the Minimal Number of Protein Markers for Cell Type Annotation Using MiniMarS

Dhruti Parikh, Angli Xue, Hsiao-Chi Liao, Claire Leana Wishart, Thomas M. Ashhurst, Givanna Putri, Fabio Luciani, Shalin H. Naik, Agus Salim, Felix Marsh‐Wakefield, Raymond H. Y. Louie

MiniMarS identifies the minimal number of protein markers for cell type annotation across multiple datasets and improves rare population identification.

bioRxiv · Jul 14, 2025 · PreprintBioinformatics

SuperCellCyto: enabling efficient analysis of large scale cytometry datasets

Givanna Putri, George Howitt, Felix Marsh‐Wakefield, Thomas M. Ashhurst, Belinda Phipson

SuperCellCyto efficiently analyzes large cytometry datasets by grouping similar cells into supercells, avoiding the need for random subsampling.

Genome biology · Apr 8, 2024Peer-reviewedBioinformatics

TrackSOM: mapping immune response dynamics through sequential clustering of time- and disease-course single-cell cytometry data

Givanna Putri, Jonathan Chung, Davis N. Edwards, Felix Marsh‐Wakefield, Irena Koprinska, Suat Dervish, Nicholas J. C. King, Thomas M. Ashhurst, Mark Norman Read

TrackSOM maps immune response dynamics through sequential clustering of time- and disease-course single-cell cytometry data, revealing heterogeneous immune cell populations and their functional evolution in West Nile Virus infection.

Cytometry Part A · Jun 27, 2022Peer-reviewedBioinformatics