Author

Lucrezia Patruno

University of Milano-BicoccaORCID 0000-0002-3721-9984Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Research Focus:clustering· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Giulio CaravagnaiD· 3 shared Alex GraudenziiD· 2 shared Marco AntoniottiiD· 2 shared Nicola CalonaciiD· 2 shared Riccardo Bergamin· 2 shared Salvatore MiliteiD· 2 shared Alberto d’OnofrioiD· 1 shared Daniele RamazzottiiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBioinformatics

Giulio CaravagnaORCID

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3 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedNov 2, 2023

A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing

Lucrezia Patruno, Salvatore Milite, Riccardo Bergamin…·Giulio Caravagna

CONGAS+ is a Bayesian method that maps single-cell RNA and ATAC data to copy number clones, revealing subclonal architectures and genotype-phenotype relationships in cancer.

8 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedMar 16, 2022

A Bayesian method to cluster single-cell RNA sequencing data using Copy Number Alterations

Salvatore Milite, Riccardo Bergamin, Lucrezia Patruno…·Giulio Caravagna

CONGAS clusters single-cell RNA sequencing data using copy number alterations to infer subclonal composition and RNA phenotypes in cancer data.

14 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 20, 2019

cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models

Lucrezia Patruno, Edoardo Galimberti, Daniele Ramazzotti…·Alex Graudenzi

The paper introduces two Cytoscape-based tools, cyTRON and cyTRON/JS, for inferring cancer evolution models from genomic and proteomics data.

DOI 10.1101/135483

proteomicsexperimental assay

𝕏 PostBluesky