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diffeRenTES

Computation of TES-Based Cell Differentiation Trees

v0.3.2 · Apr 28, 2022 · GPL-3

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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Maintainer: ‘Michele Braccini <braccini.michele@gmail.com>’

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CRAN incoming feasibility

Maintainer: ‘Michele Braccini <braccini.michele@gmail.com>’

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Michele Braccini <braccini.michele@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Michele",
                    family = "Braccini",
                    role = c("aut", "cre"),
                    email = "braccini.michele@gmail.com")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Michele Braccini <braccini.michele@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Michele",
                    family = "Braccini",
                    role = c("aut", "cre"),
                    email = "braccini.michele@gmail.com")
as necessary.

Dependency Network

Dependencies Reverse dependencies BoolNet DOT igraph diffeRenTES

Version History

new 0.3.2 Mar 10, 2026