Other packages > Find by keyword >

RQdeltaCT  

Relative Quantification of Gene Expression using Delta Ct Methods
View on CRAN: Click here


Download and install RQdeltaCT package within the R console
Install from CRAN:
install.packages("RQdeltaCT")

Install from Github:
library("remotes")
install_github("cran/RQdeltaCT")

Install by package version:
library("remotes")
install_version("RQdeltaCT", "1.3.3")



Attach the package and use:
library("RQdeltaCT")
Maintained by
Daniel Zalewski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-02
Latest Update: 2025-02-13
Description:
The commonly used methods for relative quantification of gene expression are the delta Ct family methods (encompassing 2^-Ct, 2^-dCt, and 2^-ddCt methods), originally proposed by Kenneth J. Livak and Thomas D. Schmittgen (2001) . These methods were designed to analyse gene expression data (Ct values) obtained from qPCR (quantitative Polymerase Chain Reaction) experiments. The main idea is to normalise gene expression values using endogenous control gene, present gene expression levels in linear form by using the 2^-(value)^ transformation, and calculate differences in gene expression levels between groups of samples (or technical replicates of a single sample). The 'RQdeltaCT' package offers functions that encompass all of these steps for comparison of either independent groups of samples or groups with paired samples, together with importing qPCR datasets, performing multi-step quality control of data, enabling numerous data visualisations, enrichment of the standard workflow with additional useful analyses (correlation analysis, Receiver Operating Characteristic analysis, logistic regression), and conveniently export obtained results in table and image formats. The package has been designed to be friendly to non-experts in R programming users.
How to cite:
Daniel Zalewski (2024). RQdeltaCT: Relative Quantification of Gene Expression using Delta Ct Methods. R package version 1.3.3, https://cran.r-project.org/web/packages/RQdeltaCT. Accessed 02 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:20), 1.2.1 (2024-04-02 15:32), 1.3.0 (2024-04-17 17:50), 1.3.2 (2025-02-13 13:02)
Other packages that cited RQdeltaCT R package
View RQdeltaCT citation profile
Other R packages that RQdeltaCT depends, imports, suggests or enhances
Complete documentation for RQdeltaCT
Functions, R codes and Examples using the RQdeltaCT R package
Full RQdeltaCT package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggsci  
Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'
A collection of 'ggplot2' color palettes inspired by plots in scientific journals, data visualizati ...
Download / Learn more Package Citations See dependency  
VIM  
Visualization and Imputation of Missing Values
New tools for the visualization of missing and/or imputed values are introduced, which can be used f ...
Download / Learn more Package Citations See dependency  
recmap  
Compute the Rectangular Statistical Cartogram
Implements the RecMap MP2 construction heuristic . This algorithm draw ...
Download / Learn more Package Citations See dependency  
multicmp  
Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwe ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

28,437

R Packages

239,283

Dependencies

75,283

Author Associations

28,438

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA