Author

Ricardo J. G. B. Campello

University of Southern DenmarkORCID 0000-0003-0266-3492Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Assay:scRNA-seq· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Aleksandra SzmigieliD· 2 shared Ivan G. CostaiD· 2 shared Arthur ZimekiD· 1 shared James Shiniti NagaiiD· 1 shared Seyed Ardalan GhoreishiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Aleksandra SzmigielORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 26, 2026

GraphHDBSCAN*: Graph-based Hierarchical Clustering on High-dimensional Spaces with Applications to Single-cell RNA Sequencing Data

Seyed Ardalan Ghoreishi, Aleksandra Szmigiel, James Shiniti Nagai…·Ricardo J. G. B. Campello

GraphHDBSCAN* improves hierarchical and flat clustering in scRNA-seq data by using graph-based methods, recovering biologically relevant structures and outperforming existing methods.

1 citation

humanscRNA-seq

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BioinformaticsbioRxivPreprintAug 20, 2025

On the benchmarking of clustering algorithms and hyperparameter influence for cell type detection in single-cell RNA sequencing data.

Aleksandra Szmigiel, Ivan G. Costa, Ricardo J. G. B. Campello

This paper benchmarks clustering algorithms for scRNA-seq, showing that hyperparameter choices and graph construction significantly affect performance, with no practical difference between Leiden and Louvain algorithms.

2 citations

scRNA-seqbenchmark study

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