Author

Federico Borra

IFOMORCID 0000-0003-1385-8877Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Francesca Meteora BuffaiD· 2 shared Andrea TangherloniiD· 1 shared Arianna CastelliniiD· 1 shared Carlo Ruggeri· 1 shared Giacomo Cirò· 1 shared Giovanni Gatti· 1 shared Jon BezneyiD· 1 shared Lars Michael SteinmetziD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Francesca Meteora BuffaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 10, 2026

PHAROS: turning single-cell perturbation models into target-directed drug-combination screens

Jon Bezney, Carlo Ruggeri, Federico Borra…·Lars Michael Steinmetz

PHAROS uses a pretrained single-cell perturbation model to predict and prioritize effective drug combinations without retraining, showing success in cell lines and patient-derived tumors.

DOI 10.64898/2026.09.08.749477

humanscRNA-seq

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BioinformaticsbioRxivPreprintSep 1, 2026

Scaling recipes for single-cell RNA sequencing foundation models: when do scaling laws hold?

Federico Borra, Giacomo Cirò, Arianna Castellini…·Francesca Meteora Buffa

This study examines scaling laws in single-cell RNA sequencing foundation models, showing how performance scales with model size and training compute.

DOI 10.64898/2026.08.31.747783

scRNA-seqdeep learning

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