Author

Agus Salim

The University of MelbourneORCID 0000-0002-2599-8925Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1 Assay:protein sequence· 1

Frequent Co-Authors

Adam T. PiersiD· 1 shared Angli XueiD· 1 shared Claire Leana WishartiD· 1 shared David A. ElliottiD· 1 shared Dhruti Parikh· 1 shared Enzo R. PorrelloiD· 1 shared Fabio LucianiiD· 1 shared Felix Marsh‐WakefieldiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Adam T. PiersORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 14, 2025

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

Dhruti Parikh, Angli Xue, Hsiao-Chi Liao…·Raymond H. Y. Louie

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

DOI 10.1101/2025.07.14.664825

humanmouse

BioinformaticsGenome biologyPeer-reviewedSep 18, 2023

Disparities in spatially variable gene calling highlight the need for benchmarking spatial transcriptomics methods.

Natalie Charitakis, Agus Salim, Adam T. Piers…·Mirana Ramialison

This study benchmarks spatial transcriptomics methods by comparing 6 SVG identification tools across 14 datasets, revealing discrepancies in results.

24 citations

spatial transcriptomicsbenchmark study