| GS {GSelection} | R Documentation |
Genotypic and phenotypic simulated dataset
Description
This dataset is simulated with the R package "qtlbim" where 10 are true features associated with the trait of study and remaining 100 are random markers. we consider 10 chromosomes each containing 10 markers. Each chromosome have 1 qtl which is the true feature.
Usage
data("GS")Format
A data frame with 60 rows as genotypes with 111 columns (i.e. contains information of genotyped markers and phenotypic traits).
Details
It has total 60 rows which represents 200 individuals genotypes and a total of 111 of columns, in which first 110 columns contain information of genotyped markers and last column represents value of phenotypic trait associated with genotype under study.
Source
Yandell, B. S., Mehta, T., Banerjee, S., Shriner, D., Venkataraman, R. et al. (2007). R/qtlbim: QTL with Bayesian Interval Mapping in experimental crosses. Bioinformatics, 23, 641-643.
Yandell, B. S., Nengjun, Y., Mehta, T., Banerjee, S., Shriner, D. et al. (2012). qtlbim: QTL Bayesian Interval Mapping. R package version 2.0.5. http://CRAN.R-project.org/package=qtlbim
Examples
library(GSelection)
data(GS)
X<-GS[,1:110] ## Extracting Genotype
Y<-GS[,111] ## Extracting Phenotype