VariantScan: A Machine Learning Tool for Genetic Association Studies

Portable, scalable and highly computationally efficient tool for genetic association studies."VariantScan" provides a set of machine learning methods (Linear, Local Polynomial Regression Fitting and Generalized Additive Model with Local Polynomial Smoothing) for genetic association studies that test for disease or trait association with genetic variants (biomarkers, e.g.,genomic (genetic loci), transcriptomic (gene expressions), epigenomic (methylations), proteomic (proteins), metabolomic (metabolites)). It is particularly useful when local associations and complex nonlinear associations exist.

Package details

AuthorXinghu Qin [aut, cre, cph] (<>), Tianzi Liu [aut], Peilin Jia [aut]
MaintainerXinghu Qin <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the VariantScan package in your browser

Any scripts or data that you put into this service are public.

VariantScan documentation built on June 30, 2022, 5:05 p.m.