Author

Aleksandra Szmigiel

University of Southern DenmarkORCID 0009-0002-8526-8577Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Ivan G. CostaiD· 2 shared Ricardo J. G. B. CampelloiD· 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

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Ivan G. CostaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GraphHDBSCAN*: Graph-based Hierarchical Clustering on High Dimensional Single-cell RNA Sequencing Data

Seyed Ardalan Ghoreishi, Aleksandra Szmigiel, James Shiniti Nagai, Ivan G. Costa, Arthur Zimek, Ricardo J. G. B. Campello

GraphHDBSCAN* performs hierarchical clustering on scRNA-seq data, recovering biologically meaningful hierarchies and improving flat partition quality.

bioRxiv · Mar 26, 2026 · PreprintBioinformatics

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.

bioRxiv · Aug 20, 2025 · PreprintBioinformatics