Author

Andrea Mazzanti

University of PaviaORCID 0000-0002-0208-2172Unclaimed 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:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Cezar Grigorean· 1 shared Davide BagordoiD· 1 shared Francesco LescaiiD· 1 shared Massimiliano RuoccoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Cezar Grigorean

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1 paper

Recent·Most cited

SIEVE: Sparse Interpretable Exome Variant Explainer

Davide Bagordo, Cezar Grigorean, Andrea Mazzanti, Massimiliano Ruocco, Francesco Lescai

SIEVE is a deep-learning framework for variant and gene prioritization in exome studies, achieving strong discrimination and recovering known associations across diseases.

bioRxiv · Aug 6, 2026 · PreprintBioinformatics