Author

Luca Di Leo

Danish Cancer SocietyORCID 0000-0002-2419-2196Unclaimed 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· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Daniela De ZioiD· 1 shared Elena PapaleoiD· 1 shared Francesco CecconiiD· 1 shared Matteo TibertiiD· 1 shared Mette Vixø Vistesen· 1 shared Rikke Sofie KuhreiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Daniela De ZioORCID

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1 paper

Recent·Most cited

The Cancermuts software package for the prioritization of missense cancer variants: a case study of AMBRA1 in melanoma

Matteo Tiberti, Luca Di Leo, Mette Vixø Vistesen, Rikke Sofie Kuhre, Francesco Cecconi, Daniela De Zio, Elena Papaleo

The paper introduces Cancermuts, a Python tool for prioritizing missense cancer variants, and validates its predictions on AMBRA1 mutations in melanoma.

Cell Death and Disease · Oct 15, 2022Peer-reviewedBioinformatics