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:
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.
Last updated 3 years agofrom:d2f18e94a5. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
Exports:getATMgetTESssaveDifferentiationTreeToFile
Dependencies:BoolNetclicpp11curlDOTglueigraphjsonlitelatticelifecyclemagrittrMatrixpkgconfigRcpprlangV8vctrsXML
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Compute ATM | getATM |
Compute TES | getTESs |
Save the graphic representation of the differentiation tree. | saveDifferentiationTreeToFile |