Author

Ilaria Billato

University of PaduaORCID 0000-0002-3335-3254Unclaimed 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· 3 Approach:benchmark study· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Organism:human· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Chiara RomualdiiD· 2 shared Davide RissoiD· 2 shared Hervé PagèsiD· 2 shared Levi WaldroniD· 2 shared Vincent J. CareyiD· 2 shared Alexandru MahmoudiD· 1 shared Artür ManukyaniD· 1 shared Boyi GuoiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersCancer Biology

Chiara RomualdiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Pan-cancer benchmarking reveals complementary copy number signatures with distinct multi-omic predictability

Marco Rota Negroni, Ilaria Billato, Chiara Romualdi

This study benchmarks three copy number signature compendia across cancers, showing their distinct predictability from multi-omic data and highlighting framework-dependent performance.

bioRxiv · Jul 30, 2026 · PreprintCancer Biology

Orchestrating Spatial Transcriptomics Analysis with Bioconductor

Helena Lucia Crowell, Yixing Dong, Ilaria Billato, Peiying Cai, Martin Emons, Samuel Gunz, Boyi Guo, Mengbo Li, Alexandru Mahmoud, Artür Manukyan, Hervé Pagès, Pratibha Panwar, Shreya Rao, Callum J. Sargeant, Lori A. Shepherd, , Lukas M. Weber

The paper provides an open-source online book for analyzing spatial transcriptomics data using Bioconductor in R, with reproducible code and datasets.

bioRxiv · Nov 20, 2025 · PreprintBioinformatics

Benchmarking large-scale single-cell RNA-seq analysis

Ilaria Billato, Hervé Pagès, Vincent J. Carey, Levi Waldron, Gabriele Sales, Chiara Romualdi, Davide Risso

This paper benchmarks five scRNA-seq analysis frameworks on scalability, efficiency, and accuracy using large and small datasets, finding GPU acceleration and optimized algorithms improve performance.

bioRxiv · Oct 28, 2025 · PreprintBioinformatics