Assessing and comparison of different machine learning methods in parent-offspring trios for genotype imputation

DOI10.1016/j.jtbi.2016.03.035zbMath1347.92050OpenAlexW2330496193WikidataQ39860246 ScholiaQ39860246MaRDI QIDQ327218

Mahmood Honarvar, Mehdi Aminafshar, Abbas Mikhchi, Nasser Emam Jomeh Kashan

Publication date: 19 October 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2016.03.035

zbMATH Keywords

computation timegenotype imputationimputation accuracymachine learning methods

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Genetics and epigenetics (92D10)

Uses Software

• Matlab
• R
• PLINK
• ElemStatLearn
• IMPUTE
• hypred

Cites Work

• The elements of statistical learning. Data mining, inference, and prediction

This page was built for publication: Assessing and comparison of different machine learning methods in parent-offspring trios for genotype imputation