POGG: Integrating qualitative and quantitative data of macromolecular networks. A probabilistic toolbox

Etienne Giraudet 1 Eric Docet 1 Jérémie Bourdon 1, 2
2 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : POGG (Probabilities On Genetic Graphs) is a software dedicated to the study of stochastic graph. It implements an original method based on the theory of average-case analysis of algorithms. It builds constraints between biological observations and classical constants of an undetermined weighted stochastic model. With these constraints, the software provides a fully determined model that (1) is coherent with observations; (2) allows to simulate unobserved quantities, even with a minimal information on them; (3) permits to reason on the system because it predicts local impacts of every transitions on the global behavior of the living system.
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https://hal.archives-ouvertes.fr/hal-00445610
Contributor : Jérémie Bourdon <>
Submitted on : Sunday, January 10, 2010 - 8:10:43 AM
Last modification on : Friday, November 16, 2018 - 1:24:22 AM

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  • HAL Id : hal-00445610, version 1

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Etienne Giraudet, Eric Docet, Jérémie Bourdon. POGG: Integrating qualitative and quantitative data of macromolecular networks. A probabilistic toolbox. 2007. ⟨hal-00445610⟩

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