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diffeRenTES (version 0.3.2)

Computation of TES-Based Cell Differentiation Trees

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.

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Version

Install

install.packages('diffeRenTES')

Monthly Downloads

139

Version

0.3.2

License

GPL-3

Maintainer

Michele Braccini

Last Published

April 28th, 2022

Functions in diffeRenTES (0.3.2)

saveDifferentiationTreeToFile

Save the graphic representation of the differentiation tree.
getATM

Compute ATM
getTESs

Compute TES