Other packages > Find by keyword >

SurprisalAnalysis  

Information Theoretic Analysis of Gene Expression Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SurprisalAnalysis", "3.0.1")



Attach the package and use:
library("SurprisalAnalysis")
Maintained by
Annice Najafi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-10
Latest Update: 2025-09-10
Description:
Implements Surprisal analysis for gene expression data such as RNA-seq or microarray experiments. Surprisal analysis is an information-theoretic method that decomposes gene expression data into a baseline state and constraint-associated deviations, capturing coordinated gene expression patterns under different biological conditions. References: Kravchenko-Balasha N. et al. (2014) <doi:10.1371/journal.pone.0108549>. Zadran S. et al. (2014) <doi:10.1073/pnas.1414714111>. Su Y. et al. (2019) <doi:10.1371/journal.pcbi.1007034>. Bogaert K. A. et al. (2018) <doi:10.1371/journal.pone.0195142>.
How to cite:
Annice Najafi (2025). SurprisalAnalysis: Information Theoretic Analysis of Gene Expression Data. R package version 3.0.1, https://cran.r-project.org/web/packages/SurprisalAnalysis. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 0.2 (2025-09-10 10:30), 3.0.0 (2026-01-08 04:30)
Other packages that cited SurprisalAnalysis R package
View SurprisalAnalysis citation profile
Other R packages that SurprisalAnalysis depends, imports, suggests or enhances
Complete documentation for SurprisalAnalysis
Functions, R codes and Examples using the SurprisalAnalysis R package
Full SurprisalAnalysis package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
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  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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