Author

Hsiao-Chi Liao

The University of MelbourneORCID 0000-0002-9586-1246Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Agus SalimiD· 1 shared Agus SalimiD· 1 shared Angli XueiD· 1 shared Chih-Ting YangiD· 1 shared Chun‐Houh CheniD· 1 shared Claire Leana WishartiD· 1 shared Davis James McCarthyiD· 1 shared Dhruti Parikh· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Agus SalimORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

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

MAssively-Parallel Flow cytometry Xplorer (MAPFX): A Toolbox for Analysing Data from the Massively-Parallel Cytometry Experiments

Hsiao-Chi Liao, Terence Paul Speed, Davis James McCarthy, Agus Salim

MAPFX improves analysis of massively-parallel cytometry data by preprocessing, background correction, and imputing missing markers to enhance biological signal preservation and reduce technical variation.

bioRxiv · Feb 28, 2024 · PreprintBioinformatics

Subtyping of major SARS-CoV-2 variants reveals different transmission dynamics

Hsin‐Chou Yang, Jen-Hung Wang, Chih-Ting Yang, Yin-Chun Lin, Han‐Ni Hsieh, Po-Wen Chen, Hsiao-Chi Liao, Chun‐Houh Chen, James C. Liao

The paper subtypes SARS-CoV-2 variants and identifies SNVs associated with transmission differences across multiple genomic datasets.

PNAS Nexus · Sep 1, 2022Peer-reviewedBioinformatics