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diffeRenTES
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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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.diffeRenTES . diffeRenTES results . diffeRenTES.pdf . diffeRenTES_0.3.2.tar.gz . diffeRenTES_0.3.2.zip . diffeRenTES_0.3.2.zip . diffeRenTES_0.3.2.zip . diffeRenTES_0.3.2.tgz . diffeRenTES_0.3.2.tgz . diffeRenTES_0.3.2.tgz . diffeRenTES_0.3.2.tgz . https://CRAN.R-project.org/package=diffeRenTES .
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 10 May. 2025.
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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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