Nothing
## ---- echo=FALSE, results="hide", message=FALSE-------------------------------
require(knitr)
opts_chunk$set(error=FALSE, message=FALSE, warning=FALSE)
## ----style, echo=FALSE, results='asis'----------------------------------------
BiocStyle::markdown()
## ----loadlibs, message=FALSE, warning=FALSE-----------------------------------
library(FlowSorted.Blood.450k)
library(methylCC)
library(minfi)
library(tidyr)
library(dplyr)
library(ggplot2)
## ----data-load, message=FALSE-------------------------------------------------
# Phenotypic information about samples
head(pData(FlowSorted.Blood.450k))
# RGChannelSet
rgset <- FlowSorted.Blood.450k[,
pData(FlowSorted.Blood.450k)$CellTypeLong %in% "Whole blood"]
## ----run-estimatecc1, message=FALSE-------------------------------------------
set.seed(12345)
est <- estimatecc(object = rgset)
est
## ----run-estimatecc-summaries-------------------------------------------------
cell_counts(est)
## ----run-minfi-estimateCellCounts---------------------------------------------
sampleNames(rgset) <- paste0("Sample", 1:6)
est_minfi <- minfi::estimateCellCounts(rgset)
est_minfi
## ----compare-estimates--------------------------------------------------------
df_minfi = gather(cbind("samples" = rownames(cell_counts(est)),
as.data.frame(est_minfi)),
celltype, est, -samples)
df_methylCC = gather(cbind("samples" = rownames(cell_counts(est)),
cell_counts(est)),
celltype, est, -samples)
dfcombined <- full_join(df_minfi, df_methylCC,
by = c("samples", "celltype"))
ggplot(dfcombined, aes(x=est.x, y = est.y, color = celltype)) +
geom_point() + xlim(0,1) + ylim(0,1) +
geom_abline(intercept = 0, slope = 1) +
xlab("Using minfi::estimateCellCounts()") +
ylab("Using methylCC::estimatecc()") +
labs(title = "Comparing cell composition estimates")
## ----sessionInfo, results='markup'--------------------------------------------
sessionInfo()
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