normalize {ceas} | R Documentation |
Normalizes input data according to cell number or \mu
g of protein. It
assumes your data is background normalized.
normalize(seahorse_rates, norm_csv)
seahorse_rates |
The seahorse rates table read by the |
norm_csv |
A csv file with the experimental groups in column 1 and cell
count or |
This normalization is distinct from the background normalization done by the
Wave software. If the data are not background normalized, read_data()
will
output a warning showing rows with OCR, ECAR and PER values greater than 0.
a normalzed seahorse_rates data.table
rep_list <- system.file("extdata", package = "ceas") |>
list.files(pattern = "*.xlsx", full.names = TRUE)
norm_csv <- system.file("extdata", package = "ceas") |>
list.files(pattern = "norm.csv", full.names = TRUE)
read.csv(norm_csv)
seahorse_rates <- read_data(rep_list, sheet = 2)
head(seahorse_rates, n = 10)
seahorse_rates.normalized <- normalize(seahorse_rates, norm_csv)
head(seahorse_rates.normalized, n = 10)