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R Normalization and Inference of Time Series data

Bioconductor version: Release (3.18)

R/Bioconductor package for normalization, curve registration and inference in time course gene expression data.

Author: Dipen P. Sangurdekar <dipen.sangurdekar at gmail.com>

Maintainer: Dipen P. Sangurdekar <dipen.sangurdekar at gmail.com>

Citation (from within R, enter citation("Rnits")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

R/Bioconductor package for normalization and differential expression inference in time series gene expression microarray data. PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, Microarray, Normalization, Software, TimeCourse
Version 1.36.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL-3
Depends R (>= 3.6.0), Biobase, ggplot2, limma, methods
Imports affy, boot, impute, splines, graphics, qvalue, reshape2
System Requirements
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Suggests BiocStyle, knitr, GEOquery, stringr
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package Rnits_1.36.0.tar.gz
Windows Binary Rnits_1.36.0.zip (64-bit only)
macOS Binary (x86_64) Rnits_1.36.0.tgz
macOS Binary (arm64) Rnits_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Rnits
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Rnits
Bioc Package Browser https://code.bioconductor.org/browse/Rnits/
Package Short Url https://bioconductor.org/packages/Rnits/
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