RNentropy download page
Click here for the article describing RNentropy
RNentropy 1.1.1 C++ Implementation
Download RNentropy 1.1.1 executables and C++ source code
This archive contains the executable for 64bit Linux platforms, license information, source code, example input and output files and a short manual.
Download RNentropy 1.1.1 C++ source code
Source code, license information, example input and output files and a short manual.
Download human 54 samples (6 tissues, 3 individuals, 3 replicates) dataset (raw counts, TPM and TMM-normalized counts)
Installation help and usage examples
An installation guide and short manual for the C++ implementation of RNentropy. You find a .txt copy of it inside the executable and source packages.
R implementation (1.2.2) at CRAN
RNentropy is available at CRAN.
You can install the package just by typing
install.packages("RNentropy")
from within your R console.
Manual for RNentropy R implementation
Changelog:
- RN_select function is now a lot faster with very big/huge datasets.
- Now it's possible to omit the "design" parameter in functions requiring it. In that case a default design where each sample is independent from every other will be assigned.
Older Versions
R implementation (1.2.0)
Download the R package RNentropy 1.2.0
This is RNentropy CRAN package 1.2.0. Install it with:
install.packages("RNentropy_1.2.0.tar.gz", repos = NULL, type = "source")
from within your R console, then load the RNentropy library with
library("RNentropy").
Changelog:
- RN_calc function is now a lot faster with very big/huge datasets.
- Some minor tweaks
R implementation (1.1.2)
Download the R package RNentropy 1.1.2
This is RNentropy CRAN package 1.1.2. Install it with:
install.packages("RNentropy_1.1.2.tar.gz", repos = NULL, type = "source")
from within your R console, then load the RNentropy library with
library("RNentropy").
RNentropy 1.1.1 R Implementation
Download the R package RNentropy 1.1.1
This archive contains the R package for RNentropy and licensing info. Download it to your R working directory and install it with:
install.packages("RNentropy_1.1.1.R.tar.gz", repos = NULL, type = "source")
from within your R console, then load the RNentropy library with
library("RNentropy").
Manual for RNentropy R implementation (1.1.1)