Author

Roberta Codato

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alberto RomagnoniiD· 2 shared Alex J. CornishiD· 2 shared Elodie Pronier· 2 shared Loïc HerpiniD· 2 shared Alice Mac KainiD· 1 shared Almoatazbellah YoussefiD· 1 shared Almudena Espín-PéreziD· 1 shared Anaïs Chossegros· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersCancer Biology

Alberto RomagnoniORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Identification of non-covalent inhibitors for the atypical peroxiredoxin PRDX5 as a therapeutic strategy in malignant pleural mesothelioma

Josep Monserrat, Floriane Montanari, Victor Laurent, Pierre‐Benoit Ancey, Nicolas Jean, Cécilia Jeannu, Guimin Wang, Genshu You, Qiancheng Shen, Alice Mac Kain, Yacine Barèche, Loïc Herpin, Nadia Jeremiah, Roberta Codato, Alberto Romagnoni, , Elodie Pronier

The paper identifies non-covalent inhibitors of PRDX5, a protein upregulated in MPM, through a machine learning guided pipeline and biochemical validation, suggesting it as a therapeutic target.

bioRxiv · May 15, 2026 · PreprintCancer Biology

Deciphering Cellular Ecosystems Driving Tumor Progression and Immune Escape from Spatial Transcriptomics and Single-Cell with COMPOTES

Loïc Herpin, Anaïs Chossegros, Roberta Codato, Josep Monserrat Sanchez, Jean El Khoury, Simon Grouard, Valérie Ducret, Alex J. Cornish, Baptiste Gross, Elodie Pronier, Caroline Hoffmann, Alberto Romagnoni, Eric Durand, Almudena Espín-Pérez, Quentin Bayard

The paper introduces a machine-learning method to identify recurrent cell-cell communication patterns across tumor samples using spatial transcriptomics and single-cell data, revealing key immune and genetic programs in bladder cancer.

bioRxiv · Oct 27, 2025 · PreprintBioinformatics