Package: diffeRenTES 0.3.2

Michele Braccini

diffeRenTES: Computation of TES-Based Cell Differentiation Trees

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.

Authors:Michele Braccini <[email protected]>

diffeRenTES_0.3.2.tar.gz
diffeRenTES_0.3.2.tar.gz(r-4.5-noble)diffeRenTES_0.3.2.tar.gz(r-4.4-noble)
diffeRenTES_0.3.2.tgz(r-4.4-emscripten)diffeRenTES_0.3.2.tgz(r-4.3-emscripten)
diffeRenTES.pdf |diffeRenTES.html
diffeRenTES/json (API)
NEWS

# Install 'diffeRenTES' in R:
install.packages('diffeRenTES', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 232 downloads 3 exports 18 dependencies

Last updated 3 years agofrom:d2f18e94a5. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 29 2025
R-4.5-linuxOKJan 29 2025

Exports:getATMgetTESssaveDifferentiationTreeToFile

Dependencies:BoolNetclicpp11curlDOTglueigraphjsonlitelatticelifecyclemagrittrMatrixpkgconfigRcpprlangV8vctrsXML

Getting started

Rendered fromdiffeRenTES_vignette.Rmdusingknitr::rmarkdownon Jan 29 2025.

Last update: 2022-04-28
Started: 2022-04-28