In silico prediction of blood cholesterol levels from genotype data.

In this work we present a framework for blood cholesterol levels prediction from genotype data. The predictor is based on an algorithm for cholesterol metabolism simulation available in literature, implemented and optimized by our group in the R language. The main weakness of the former simulation a...

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Bibliographic Details
Main Authors: Francesco Reggiani, Marco Carraro, Anna Belligoli, Marta Sanna, Chiara Dal Prà, Francesca Favaretto, Carlo Ferrari, Roberto Vettor, Silvio C E Tosatto
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0227191