README.md
In KehaoWu/GWAScFDR: conditional False Discovery Rate method to detect pleitropical SNPs using GWAS summary information
GWAS_cFDR
Installation
install.packages("devtools")
devtools::install_github("KehaoWu/GWAScFDR")
Demo
p1 = runif(10000,0,1)
p2 = runif(10000,0,1)
cFDR(p1,p2)
p = stratifiedQQplot(p1,p2)
plot(p)
pvalue = runif(100)
bp = sample(10000:20000,100)
chr = sample(1:22,100,replace=T)
gene = as.character(1:100)
p = manhattanPlot(pvalue = pvalue,bp = bp,chr = chr,gene = gene)
plot(p)
KehaoWu/GWAScFDR documentation built on May 7, 2019, 12:29 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GWAS_cFDR
Installation
install.packages("devtools")
devtools::install_github("KehaoWu/GWAScFDR")
Demo
p1 = runif(10000,0,1)
p2 = runif(10000,0,1)
cFDR(p1,p2)
p = stratifiedQQplot(p1,p2)
plot(p)
pvalue = runif(100)
bp = sample(10000:20000,100)
chr = sample(1:22,100,replace=T)
gene = as.character(1:100)
p = manhattanPlot(pvalue = pvalue,bp = bp,chr = chr,gene = gene)
plot(p)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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