Experimental design for inference over the A. thaliana circadian clock network

Daniel Trejo-Banos, Andrew J. Millar, Guido Sanguinetti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Planning experiments is a crucial step in successful investigations, which can greatly benefit from computational modeling approaches. Here we consider the problem of designing informative experiments for elucidating the dynamics of biological networks. Our approach extends previously proposed methodologies to the important case where the structure of the network is also uncertain. We demonstrate our approach on a benchmark scenario in plant biology, the circadian clock network of Arabidopsis thaliana, and discuss the different value of three types of commonly used experiments in terms of aiding the reconstruction of the unknown network
Original languageEnglish
Title of host publicationComputational Methods in Systems Biology
Subtitle of host publication13th International Conference, CMSB 2015, Nantes, France, September 16-18, 2015, Proceedings
PublisherSpringer International Publishing
Number of pages12
ISBN (Electronic)978-3-319-23401-4
ISBN (Print)978-3-319-23400-7
Publication statusPublished - 2015

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing
ISSN (Print)0302-9743


Dive into the research topics of 'Experimental design for inference over the A. thaliana circadian clock network'. Together they form a unique fingerprint.

Cite this