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 23 Jul. 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

MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

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