visualise: Plot SNP-exon correlations
In rauschenberger/spliceQTL: Alternative Splicing
Description
Usage
Arguments
Examples
Description
This function plot the absolute Spearman correlation coefficients
between SNP and exons.
Usage
1
visualise(Y, X, map, i)
Arguments
Y
exon expression:
matrix with n rows (samples) and p columns (exons)
X
SNP genotype:
matrix with n rows (samples) and q columns (SNPs)
map
list with names "genes", "exons", and "snps"
(output from map.genes, map.exons, and map.snps)
i
gene index:
integer between 1 and nrow(map$genes)
Examples
1
# see vignette
rauschenberger/spliceQTL documentation built on May 13, 2019, 3:02 a.m.
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Description Usage Arguments Examples
Description
This function plot the absolute Spearman correlation coefficients between SNP and exons.
Usage
1 | visualise(Y, X, map, i)
|
Arguments
Y |
exon expression: matrix with n rows (samples) and p columns (exons) |
X |
SNP genotype: matrix with n rows (samples) and q columns (SNPs) |
map |
list with names "genes", "exons", and "snps"
(output from |
i |
gene index:
integer between 1 and |
Examples
1 | # see vignette
|
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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