View source: R/directExplorer2d.R
directExplorer2d | R Documentation |
Rotate to the direction of interest in polar coordinates by degree (e.g. pi/4).
directExplorer2d(Tc, annotation=NULL, gene.method="OSP",
path.method="Stouffer", top=10, nd=8, ...)
Tc |
a numeric matrix with 2 columns. The rows are genes or phosphorylation sites and the columns are treatments vs control statistics. |
annotation |
a list with names correspond to pathways or kinases and elements correspond to genes or substrates belong to each pathway or kinase, respectively. |
gene.method |
the method to be used for integrating statistics across treatments for each gene or phosphorylation site. Available methods are Stouffer, OSP, Fisher, and maxP. Default method is OSP. |
path.method |
the method to be used for integrating statistics of all genes or phosphorylation sites that belongs to a pathway or kinase. Available methods are Stouffer, OSP, Fisher, and maxP. Default method is Stouffer. |
top |
the number of entries to be highlighted in the plot. |
nd |
the number of directions to plot (4 or 8) |
... |
parameters for controlling the plot. |
The the list of enrichment analysis in tables.
# load the phosphoproteomics dataset
data(HEK)
# load the kinase-substrate annoations
data(PhosphoSite)
# test enrichment on 8 directions in polar coordinate system.
bda <- directExplorer2d(Tc=HEK, annotation=PhosphoSite.mouse)
# the direction are denoted as follow for the two treatments vs control:
# ++: up-regulated in both treatments
# +*: up-regulated in the first treatment and unchanged in the second treatment
# +-: up-regulated in the first treatment and down-regulated in the second treatment
# *-: unchanged in the first treatment and down-regulated in the second treatment
# --: down-regulated in both treatments
# -*: down-regulated in the first treatment and unchanged in the second treatment
# -+: down-regulated in the first treatment and up-regulated in the second treatment
# *+: unchanged in the first treatment and up-regulated in the second treatment
# sort the most enriched phosphorylation sites and kinases on down-regulaiton from both
# treatments (i.e. "--") and displa the top-10 entries
bda$gene.tab[order(bda$gene.tab[,"--"]),][1:10,]
bda$path.tab[order(bda$path.tab[,"--"]),][1:10,]
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