On the constraint of gene regulatory networks to canalizing functions and post classes

Ranadip Pal, Harri Lahdesmaki, Ilya Shmulevich, Olli Yli-Harja, Edward Dougherty

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An important preliminary goal in learning biological network models from experimental data is to study the plausibility of different types of regulatory mechanisms in living organisms. In addition to providing important biological insight, the knowledge of abundance of some specific regulatory rules in nature helps the computational problems by restricting the space of possible models to be learned. In this paper, we assess the plausibility of canalizing functions and certain Post (closed) function classes by examining the feasibility of generating networks containing one class at a time that satisfies some predefined network constraints. The results suggest that these two families of regulatory rules are plausible in the light of currently available experimental data.

Original languageEnglish
Title of host publicationGENSIPS'08 - 6th IEEE International Workshop on Genomic Signal Processing and Statistics
DOIs
StatePublished - 2008
Event6th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'08 - Phoenix, AZ, United States
Duration: Jun 8 2008Jun 10 2008

Publication series

NameGENSIPS'08 - 6th IEEE International Workshop on Genomic Signal Processing and Statistics

Conference

Conference6th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'08
CountryUnited States
CityPhoenix, AZ
Period06/8/0806/10/08

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