plotTpcaVolcano | R Documentation |
Plot TPCA analysis results
plotTpcaVolcano(tpcaObj, alpha = 0.1)
tpcaObj |
a tpcaObj after having performed
a differential analysis, see |
alpha |
significance level / FDR at which null hypothesis should be rejected |
ggplot displaying a volcano plot
library(dplyr)
library(Biobase)
m1 <- matrix(1:28, ncol = 4)
m2 <- matrix(2:25, ncol = 4)
m3 <- matrix(c(2:10, 1:19), ncol = 4)
rownames(m1) <- 1:7
rownames(m2) <- 3:8
rownames(m3) <- 2:8
mat_list <- list(
m1, m2, m3
)
complex_anno <- tibble(
protein = c("3", "4", "5",
"4", "5", "6", "7"),
id = c(rep("1", 3), rep("2", 4)),
count = c(rep(3, 3), rep(4, 4)))
tpca_result <- runTPCA(
mat_list, complexAnno = complex_anno)
plotTpcaVolcano(tpca_result)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.