Extract normalized expression and colData
Extract normalized (i.e. log2 CPM) expression and colData
from dreamletProcessedData
Examples
library(muscat)
library(SingleCellExperiment)
data(example_sce)
# create pseudobulk for each sample and cell cluster
pb <- aggregateToPseudoBulk(example_sce,
assay = "counts",
cluster_id = "cluster_id",
sample_id = "sample_id",
verbose = FALSE
)
# voom-style normalization
res.proc <- processAssays(pb, ~group_id)
#> B cells...
#> 0.24 secs
#> CD14+ Monocytes...
#> 0.35 secs
#> CD4 T cells...
#> 0.24 secs
#> CD8 T cells...
#> 0.13 secs
#> FCGR3A+ Monocytes...
#> 0.28 secs
# Extract all:
# Extract tibble of colData merged with expression.
# variables and genes are stored as columns, samples as rows
df_merge <- extractData(res.proc, "B cells")
# first few columns
df_merge[, 1:6]
#> # A tibble: 4 × 6
#> Row.names group_id ISG15 AURKAIP1 MRPL20 SSU72
#> <I<chr>> <fct> <dbl> <dbl> <dbl> <dbl>
#> 1 ctrl101 ctrl 7.02 7.80 7.02 8.16
#> 2 ctrl107 ctrl 7.29 8.35 7.29 8.55
#> 3 stim101 stim 13.4 8.28 7.58 7.94
#> 4 stim107 stim 13.2 7.79 6.85 8.43
# Extract subset:
df_merge <- extractData(res.proc, "B cells", cols = "group_id", genes = c("SSU72", "U2AF1"))
df_merge
#> # A tibble: 4 × 4
#> Row.names group_id SSU72 U2AF1
#> <I<chr>> <fct> <dbl> <dbl>
#> 1 ctrl101 ctrl 8.16 9.19
#> 2 ctrl107 ctrl 8.55 9.32
#> 3 stim101 stim 7.94 9.02
#> 4 stim107 stim 8.43 9.08
# Boxplot of expression
boxplot(SSU72 ~ group_id, df_merge)
#