Reconstructing gene regulatory networks from knock-out data using Gaussian Noise Model and Pearson Correlation Coefficient

Published 2015 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Reconstructing gene regulatory networks from knock-out data using Gaussian Noise Model and Pearson Correlation Coefficient
Authors
Keywords
Bioinformatics, Probability and statistics, DREAM, Gene regulatory network, Gaussian model, Pearson Correlation Coefficient
Journal
COMPUTATIONAL BIOLOGY AND CHEMISTRY
Volume 59, Issue -, Pages 3-14
Publisher
Elsevier BV
Online
2015-06-18
DOI
10.1016/j.compbiolchem.2015.04.012

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.