Author

Marta Sanna

University of PaduaORCID 0000-0001-9166-4387Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Anna BelligoliiD· 1 shared Carlo FerrariiD· 1 shared Chiara Dal Prà· 1 shared Francesca FavarettoiD· 1 shared Francesco ReggianiiD· 1 shared Marco CarraroiD· 1 shared Roberto VettoriD· 1 shared Silvio C. E. TosattoiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperSystems Biology

Anna BelligoliORCID

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1 paper

Recent·Most cited

In silico prediction of blood cholesterol levels from genotype data

Francesco Reggiani, Marco Carraro, Anna Belligoli, Marta Sanna, Chiara Dal Prà, Francesca Favaretto, Carlo Ferrari, Roberto Vettor, Silvio C. E. Tosatto

This study presents a framework for predicting blood cholesterol levels from genotype data by optimizing a simulation algorithm using literature-based patient cholesterol levels.

PLoS ONE · Feb 10, 2020Peer-reviewedSystems Biology