delta_Ct {RQdeltaCT} | R Documentation |
delta_Ct
Description
This function calculates delta Ct (dCt) values by subtracting Ct values of reference gene or genes from Ct values of remaining genes. Obtained dCt values can be further transformed by using 2^-dCt formula (if transform == TRUE).
Usage
delta_Ct(
data,
ref,
normalise = TRUE,
transform = FALSE,
save.to.txt = FALSE,
name.txt = "data_dCt"
)
Arguments
data |
Data object returned from make_Ct_ready function. |
ref |
Character vector with name of one or more reference genes. |
normalise |
Logical: if TRUE, data normalisation will be done using reference gene/genes (provided in ref parameter). |
transform |
Logical: if TRUE, calculated dCt values will be transformed using 2^-dCt formula. Default to FALSE. |
save.to.txt |
Logical: if TRUE, returned data will be saved to .txt file. Default to FALSE. |
name.txt |
Character: name of saved .txt file, without ".txt" name of extension. Default to "data_dCt". |
Value
Data frame with dCt values.
Examples
library(tidyverse)
data(data.Ct)
data.CtF <- filter_Ct(data.Ct,
remove.Gene = c("Gene2","Gene5","Gene6","Gene9","Gene11"),
remove.Sample = c("Control08","Control16","Control22"))
data.CtF.ready <- make_Ct_ready(data.CtF, imput.by.mean.within.groups = TRUE)
data.dCt <- delta_Ct(data.CtF.ready, ref = "Gene8")
head(data.dCt)
data.dCt.exp <- delta_Ct(data.CtF.ready, ref = "Gene8", transform = TRUE)
head(data.dCt.exp)
[Package RQdeltaCT version 1.3.0 Index]