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RQdeltaCT

1.3.3Package record

Relative Quantification of Gene Expression using Delta Ct Methods

0packages depend
7.3Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

The commonly used methods for relative quantification of gene expression levels obtained in real-time PCR (Polymerase Chain Reaction) experiments are the delta Ct methods, encompassing 2^-dCt and 2^-ddCt methods, originally proposed by Kenneth J. Livak and Thomas D. Schmittgen (2001) doi:10.1006/meth.2001.1262. 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 cover both methods for comparison of either independent groups of samples or groups with paired samples, together with importing expression 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.

Install

Health

CRAN checks
13OK
Slowest check: 6.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-09
  • ERROR12 OK, 1 ERROR2026-09-04
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.3
READMEYes · 289 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
36
Examples that run
100%32 run in a plain check
Exported functions with examples
100%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
0%

Downloads

7.3K
CRAN downloads in the past year
Rank #7,658 · ~20/day · ~607/mo
Daily download trend is not available in this view yet.
42230 days
1.2K90 days
7.3K1 year
Compare downloads with other packages →
Also on91 r2u4 autocran

Repository

1Stars
0Forks
2Open issues
0Open PRs
0Releases
72Commits
3Commit identities
72 commits · Last activity 2025-09-14
Responsiveness
not measured

Stars over time

2025-07-26 · 12026-07-07 · 1
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/donadelnal/rqdeltact on 2026-10-18.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
19 external dependencies (excludes base and recommended)

Installing RQdeltaCT adds 141 packages (67 with compiled code, 110 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.2.1 (2024)
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.3Latest
    record
    2025-09-14 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.3.2
    record
    2025-02-13 · diff ↗ ·
    added 1 export
    control_heatmap
  • R
    R 4.4.0 released · 2024-04-24
  • 1.3.0
    record
    2024-04-17 · diff ↗ ·
    removed 4 exports
    RQ_exp_Ct_dCt, RQ_plot, RQ_volcano, exp_Ct_dCt
    added 3 exports
    FCh_plot, RQ_dCt, results_volcano
  • 1.2.1
    record
    2024-04-02
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-04-02
Total releases
4 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
13 KB / 4 files
Download size
3.4 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("RQdeltaCT")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RQdeltaCT version 1.3.3 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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