get_df_long: Generate a long data.frame from a SummarizedExperiment

In DEP: Differential Enrichment analysis of Proteomics data

Description

get_df_long generate a wide data.frame from a SummarizedExperiment.

Usage

get_df_long(se)

Arguments

se	SummarizedExperiment, Proteomics data (output from make_se() or make_se_parse()).

Value

A data.frame object containing all data in a wide format, where each row represents a single measurement.

Examples

# Load example
data <- UbiLength
data <- data[data$Reverse != "+" & data$Potential.contaminant != "+",]
data_unique <- make_unique(data, "Gene.names", "Protein.IDs", delim = ";")

# Make SummarizedExperiment
columns <- grep("LFQ.", colnames(data_unique))
exp_design <- UbiLength_ExpDesign
se <- make_se(data_unique, columns, exp_design)

# Filter, normalize and impute missing values
filt <- filter_missval(se, thr = 0)
norm <- normalize_vsn(filt)
imputed <- impute(norm, fun = "MinProb", q = 0.01)

# Test for differentially expressed proteins
diff <- test_diff(imputed, "control", "Ctrl")
dep <- add_rejections(diff, alpha = 0.05, lfc = 1)

# Get a long data.frame
long <- get_df_long(dep)
colnames(long)

DEP documentation built on Nov. 8, 2020, 7:49 p.m.