Author

Marco Ritelli

University of BresciaORCID 0000-0002-7025-2495Unclaimed 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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Approach:deep learning· 1 Organism:human· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

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Andrea LegatiiD· 1 shared Edoardo GiacopuzziiD· 1 shared Viola Ravasio· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperBioinformatics

Andrea LegatiORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedApr 12, 2018

GARFIELD-NGS: Genomic vARiants FIltering by dEep Learning moDels in NGS

Viola Ravasio, Marco Ritelli, Andrea Legati, Edoardo Giacopuzzi

GARFIELD-NGS uses deep learning to filter false positive variants in exome sequencing data, outperforming existing methods and working at low coverage.

32 citations

humanwhole-exome sequencing

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