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diffeRenTES  

Computation of TES-Based Cell Differentiation Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("diffeRenTES", "0.3.2")



Attach the package and use:
library("diffeRenTES")
Maintained by
Michele Braccini
[Scholar Profile | Author Map]
First Published: 2022-04-28
Latest Update: 2022-04-28
Description:
Computes the ATM (Attractor Transition Matrix) structure and the tree-like structure describing the cell differentiation process (based on the Threshold Ergodic Set concept introduced by Serra and Villani), starting from the Boolean networks with synchronous updating scheme of the 'BoolNet' R package. TESs (Threshold Ergodic Sets) are the mathematical abstractions that represent the different cell types arising during ontogenesis. TESs and the powerful model of biological differentiation based on Boolean networks to which it belongs have been firstly described in "A Dynamical Model of Genetic Networks for Cell Differentiation" Villani M, Barbieri A, Serra R (2011) A Dynamical Model of Genetic Networks for Cell Differentiation. PLOS ONE 6(3): e17703.
How to cite:
Michele Braccini (2022). diffeRenTES: Computation of TES-Based Cell Differentiation Trees. R package version 0.3.2, https://cran.r-project.org/web/packages/diffeRenTES. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other packages that cited diffeRenTES R package
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Other R packages that diffeRenTES depends, imports, suggests or enhances
Complete documentation for diffeRenTES
Functions, R codes and Examples using the diffeRenTES R package
Some associated functions: getATM . getTESs . saveDifferentiationTreeToFile . 
Some associated R codes: functions.R .  Full diffeRenTES package functions and examples
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