Title
A Contradiction-Based Framework for Testing Gene Regulation Hypotheses
Abstract
We have developed a mathematical framework for representingand testing hypotheses about gene, protein, andsignaling molecule interactions. It takes a hierarchical,contradiction-based approach, and can make use of multipledata sources to assess hypothesis viability and to generatea viability partial order over the space of hypotheses.We have developed an event-based formal languagefor the expression of such hypotheses. This language seamlesslyintegrates regulatory diagrams (graphical inputs) andstructured English (text input) to maximize flexibility. Wehave developed a pre-topological formalism that allows usto make precise statements about hypothesis similarity andthe convergence of iterative refinements of a base hypothesis.To this, we add mathematical machinery that allows usto make precise statements about control and regulation.
Year
DOI
Venue
2003
10.1109/CSB.2003.1227430
CSB
Keywords
Field
DocType
representingand testing hypothesis,base hypothesis,hypothesis similarity andthe convergence,andsignaling molecule interaction,andstructured english,precise statement,testing gene regulation hypotheses,viability partial order,hypothesis viability,mathematical machinery,mathematical framework,contradiction-based framework,partial order,genetics,formal languages,proteins,molecular biophysics,gene regulation,iterative methods
Convergence (routing),Computer science,Structured English,Theoretical computer science,Artificial intelligence,Contradiction,Multiple data,Formal language,Iterative method,Regulation of gene expression,Bioinformatics,Formalism (philosophy),Machine learning
Conference
ISBN
Citations 
PageRank 
0-7695-2000-6
3
0.55
References 
Authors
5
3
Name
Order
Citations
PageRank
Steve Racunas150.97
Nigam Shah221220.11
N.V. Fedoroff3534.63