Author

Emidio Capriotti

University of BolognaORCID 0000-0002-2323-0963Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:E. coli· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Antonio RauselliD· 1 shared Christopher Frederik BlumiD· 1 shared Francisco Requena· 1 shared Linlin ZhaoiD· 1 shared Markus KollmanniD· 1 shared Mathias BelleriD· 1 shared Nigreisy MontalvoiD· 1 shared Nima AbedpouriD· 1 shared

Activity by Year

2016-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Antonio RausellORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineBioinformaticsPeer-reviewedSep 19, 2025

Federated Learning for the pathogenicity annotation of genetic variants in multi-site clinical settings

Nigreisy Montalvo, Francisco Requena, Emidio Capriotti, Antonio Rausell

This study evaluates federated learning for variant pathogenicity annotation in multi-site clinical settings, showing comparable or better performance than centralized models.

8 citationstop 4%

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintNov 22, 2016

Predicting gene expression level in E. coli from mRNA sequence information

Linlin Zhao, Nima Abedpour, Christopher Frederik Blum…·Emidio Capriotti

The paper develops PGExpress, a tool to predict translation efficiency in E. coli using mRNA sequence features, achieving 74% accuracy and 0.81 AUC.

2 citations

E. coliDNA methylation

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