Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS

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Documentation for package ‘mrMLM’ version 5.0.1

Help Pages

33-16 Genotype of real data
<phenotype> Phenotype dataset
A4226 Genotype of real data
chrom Genotype data
Chromosome Final result used to draw manhattan plot.
DoData process raw data
FASTmrEMMA To perform GWAS with FASTmrEMMA method
FASTmrMLM To perform GWAS with FASTmrMLM method
Gen Genotype data
Genotype Genotype of real data
inputData Input data which have been transformed
ISIS To perform GWAS with ISIS EM-BLASSO method
LOD.score Final result used to draw manhattan plot.
mrMLM Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS
mrMLMFun To perform GWAS with mrMLM method
MultiManhattan Drawing multi-locus Manhattan plot
multiplication_speed Matrix multiplication acceleration algorithm.
Nov-38 Genotype of real data
Phe Phenotype dataset
Phenotype Phenotype of real data
pKWmEB To perform GWAS with pKWmEB method
pLARmEB To perform GWAS with pLARmEB method
pos Genotype data
QTN.effect Final result used to draw manhattan plot.
ReadData read raw data
rep-1 Phenotype dataset
rep-2 Phenotype dataset
rep-3 Phenotype dataset
ResultFinal Final result used to draw manhattan plot.
ResultIntermediate Intermediate result used to draw manhattan plot.
rs# Genotype data
RS. Intermediate result used to draw manhattan plot.
Trait.ID Intermediate result used to draw manhattan plot.
Trait.name Intermediate result used to draw manhattan plot.
trait1 Phenotype of real data
trait2 Phenotype of real data
trait3 Phenotype of real data