Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Increasing feasibility of optimal gene network estimation.

Annika Hansen1, Sascha Ott, Georgy Koentges

  • 1Functional Genomics Laboratory, Wolfson Institute for Biomedical Research, University College London, The Cruciform Building, Gower Street, London WC1E 6AU, UK. a.hansen@ucl.ac.uk

Genome Informatics. International Conference on Genome Informatics
|February 12, 2005
PubMed
Summary

We developed an efficient algorithm to infer gene regulatory networks from microarray data. This computational biology approach significantly reduces processing time and memory, aiding gene expression research.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Palliative Care Throughout the Entire Perioperative Pathway in Cardiovascular Surgery.

Seminars in thoracic and cardiovascular surgery·2026
Same author

Local Anesthesia and Analgosedation for Surgical Micro-Axial Flow Pump Implantation.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2026
Same author

Impact of Partial- to Full-Support Escalation With Microaxial Flow Pumps Prior to Durable Left Ventricular Assist Device Implantation.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery·2026
Same author

Permissive and instructive <i>Hox</i> codes govern limb positioning.

eLife·2026
Same author

Perioperative high-dose selenium supplementation in open thoracic aortic surgery: a post hoc subgroup analysis of the SUSTAIN CSX trial.

Journal of thoracic disease·2026
Same author

Functional genomics analysis of developing zebrafish and human endoderm reveals highly conserved <i>cis</i>-regulatory modules acting during vertebrate organogenesis.

Genome research·2026

Area of Science:

  • Computational biology
  • Bioinformatics
  • Systems biology

Background:

  • Disentangling gene regulatory networks is crucial for understanding gene expression.
  • Microarray data offers a rich source of information for network inference.

Purpose of the Study:

  • To propose an optimized algorithm for estimating Bayesian networks from microarray data.
  • To improve the computational efficiency of gene regulatory network inference.

Main Methods:

  • Developed a novel algorithm for optimal Bayesian network estimation.
  • Reduced space complexity from O(n^2 x 2^n) to O(2^n).
  • Reduced expected calculation time from O(n^2 x 2^n) to O(n x 2^n) by utilizing a maximal regulator limitation.

Main Results:

Related Experiment Videos

  • The proposed algorithm significantly decreases CPU time and memory consumption.
  • Demonstrated substantial computational improvements for gene regulatory network analysis.
  • The method is particularly effective when incorporating biological constraints on gene regulation.

Conclusions:

  • The new algorithm offers a more efficient method for inferring gene regulatory networks using microarray data.
  • This advancement facilitates complex biological network analysis in computational biology research.
  • The approach holds significant potential for various research applications requiring gene expression analysis.