camerplot | R Documentation |
plots the results of CAMERA in limma package
cameraplot(
camera.res,
gene.sets,
voom.res = NULL,
design = NULL,
genes = NULL,
contrast = ncol(design),
title = "Camera Gene set notch plot",
cex.space = 1,
col.axis = alpha("gray20", 0.8),
col.ramp = c("blue", "red"),
cex.slab = 1,
cex.glab = 1,
lwd.notch = 1,
tick.w = 0.1,
max.genes = 10,
text.shift = 0.5,
height.wf = 0.1,
min.corr = 0.1,
min.dist = 10,
middle = NULL,
max.gene.sets = 20,
gtext.shift = 0.2
)
camera.res |
output of camera from limma, or data.table with fields $name, $P, $Direction, $FDR |
gene.sets |
gene set input to camera (named list of indices into the voom.res gene expression matrix) |
voom.res |
output of voom from limma (default NULL) |
design |
design matrix input to camera (default NULL) |
genes |
alternate to voom.res and design can just provide a named numeric vector of effect sizes, named by genes |
cex.space |
label spacing expansion factor (use if labels get too crowded |
col.axis |
axis color character |
col.ramp |
ramp from lowest to highest expression to phenotype correlation (default blue, red) |
cex.slab |
set label cex |
cex.glab |
gene label cex |
lwd.notch |
notch thickness |
max.genes |
max genes to draw in "leading edge" of gene set |
text.shift |
minimal distance between labels |
height.wf |
height of the topmost correlation waterfall plot |
min.corr |
minimal abs(correlation) value for leading edge definition |
Marcin Imielinski
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