A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants

A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants

Abstract Background The field of pharmacogenomics focuses on the way a person’s genome affects his or her response to a certain dose of a specified medication. The main aim is to utilize this information to guide and personalize the treatment in a way that maximizes the clinical benefits and minimiz...

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Bibliographic Details
Main Authors: Maria-Theodora Pandi, Maria Koromina, Iordanis Tsafaridis, Sotirios Patsilinakos, Evangelos Christoforou, Peter J. van der Spek, George P. Patrinos
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Human Genomics
Subjects:
Machine learning
Computational approaches
Functional prediction
Pharmacogenomic variants
Online Access:https://doi.org/10.1186/s40246-021-00352-1

Internet

https://doi.org/10.1186/s40246-021-00352-1

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