Author

Luca Piccoli

Institute for Research in BiomedicineORCID 0000-0002-1085-6502Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Andrea CavalliiD· 1 shared Antonio LanzavecchiaiD· 1 shared Jacopo SgrignaniiD· 1 shared Luca VaraniiD· 1 shared Luisa DiomedeiD· 1 shared Marco PrunottoiD· 1 shared Margherita RomeoiD· 1 shared Maria Monica BarzagoiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrea CavalliORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintDec 15, 2020

Machine learning predicts immunoglobulin light chain toxicity through somatic mutations

Maura Garofalo, Luca Piccoli, Margherita Romeo…·Andrea Cavalli

This paper introduces LICTOR, a machine learning model that predicts immunoglobulin light chain toxicity in AL using somatic mutations, achieving 83% accuracy in predicting clinical phenotypes.

DOI 10.1101/849901

humanproteomics

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