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PRSPGx  

Construct PGx PRS
View on CRAN: Click here


Download and install PRSPGx package within the R console
Install from CRAN:
install.packages("PRSPGx")

Install from Github:
library("remotes")
install_github("cran/PRSPGx")

Install by package version:
library("remotes")
install_version("PRSPGx", "0.3.0")



Attach the package and use:
library("PRSPGx")
Maintained by
Song Zhai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-15
Latest Update: 2022-07-20
Description:
Construct pharmacogenomics (PGx) polygenic risk score (PRS) with PRS-PGx-Unadj (unadjusted), PRS-PGx-CT (clumping and thresholding), PRS-PGx-L, -GL, -SGL (penalized regression), PRS-PGx-Bayes (Bayesian regression). Package is based on ''Pharmacogenomics Polyenic Risk Score for Drug Response Prediction Using PRS-PGx Methods'' by Zhai, S., Zhang, H., Mehrotra, D.V., and Shen, J., 2021 (submitted).
How to cite:
Song Zhai (2021). PRSPGx: Construct PGx PRS. R package version 0.3.0, https://cran.r-project.org/web/packages/PRSPGx. Accessed 05 Jan. 2025.
Previous versions and publish date:
0.1.0 (2021-12-15 20:50), 0.2.0 (2022-06-16 19:30)
Other packages that cited PRSPGx R package
View PRSPGx citation profile
Other R packages that PRSPGx depends, imports, suggests or enhances
Complete documentation for PRSPGx
Functions, R codes and Examples using the PRSPGx R package
Some associated functions: PRSPGx.example . PRS_Dis_CT . PRS_Dis_LDpred2 . PRS_PGx_Bayes . PRS_PGx_CT . PRS_PGx_Lasso . 
Some associated R codes: PRS_Dis_CT.R . PRS_Dis_LDpred2.R . PRS_PGx_Bayes.R . PRS_PGx_CT.R . PRS_PGx_Lasso.R . data.R . import_pkgs.R .  Full PRSPGx package functions and examples
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