pLARmEB {mrMLM} | R Documentation |
To perform GWAS with pLARmEB method
Description
polygene-background-control-based least angle regression plus Empirical Bayes
Usage
pLARmEB(gen,phe,outATCG,genRaw,kk,psmatrix,CriLOD,lars1,Genformat,Bootstrap,CLO)
Arguments
gen |
genotype matrix. |
phe |
phenotype matrix. |
outATCG |
genotype for code 1. |
genRaw |
raw genotype. |
kk |
kinship matrix. |
psmatrix |
population structure matrix. |
CriLOD |
Critical LOD score for significant QTN. |
lars1 |
No. of potentially associated variables selected by LARS. |
Genformat |
Format for genotypic codes. |
Bootstrap |
Bootstrap=FALSE indicates the analysis of only real dataset, Bootstrap=TRUE indicates the analysis of both real dataset and four resampling datasets. |
CLO |
number of CPU. |
Author(s)
Zhang Ya-Wen, Wang Jing-Tian, Li Pei, Zhang Yuan-Ming
Maintainer: Yuan-Ming Zhang<soyzhang@mail.hzau.edu.cn>
Examples
G1=data(Gen)
P1=data(Phe)
Readraw=ReadData(fileGen=Gen,filePhe=Phe,fileKin=NULL,filePS =NULL,
Genformat=1)
InputData=inputData(readraw=Readraw,Genformat=1,method="pLARmEB",trait=1)
result=pLARmEB(InputData$doMR$gen,InputData$doMR$phe,InputData$doMR$outATCG,
InputData$doMR$genRaw,InputData$doMR$kk,InputData$doMR$psmatrix,
CriLOD=3,lars1=20,Genformat=1,Bootstrap=FALSE,CLO=1)
[Package mrMLM version 5.0.1 Index]