Article

In silico prediction of blood cholesterol levels from genotype data

2018-12-20

Abstract excerpt

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 R language. Main weakness of the former simulation algorithm was the need of experimental data to simulate mutations in genes altering the cholesterol metabolism. This caveat st...

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Identifiers and source

Literature Corpus work: 6ba4ccbd-d76b-51df-a64e-57f7f55a2489
DOI: 10.1101/503003

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