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 Concept Videos

Nodal Analysis01:10

Nodal Analysis

Nodal analysis is a fundamental method in electrical engineering used to simplify the process of circuit analysis. This method revolves around the concept of using node voltages as the primary variables for circuit analysis. The objective is to determine the voltage at each node in a circuit, which can then be used to find other quantities of interest, such as currents through specific components.
Consider, for instance, a simple circuit composed of three nodes and three resistors, as shown in...

You might also read

Related Articles

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

Sort by
Same author

Preclinical efficacy of a gene therapy for <i>CHKB</i>-mediated muscular dystrophy.

Molecular therapy. Advances·2026
Same author

Amidoxime-Based Near-Infrared Fluorescent Sensor for Highly Sensitive Uranium Detection in Living Systems.

Analytical chemistry·2026
Same author

Vamorolone for Duchenne Muscular Dystrophy: A Cross-Trial Efficacy Comparison With Classic Corticosteroids From the FOR-DMD Trial.

Neurology·2026
Same author

Vamorolone Safety, Pharmacokinetics, and Exploratory Efficacy in Duchenne Muscular Dystrophy: A Phase II, Nonrandomized, Multiple-Dose Study in 2-<4-Year-Old Boys.

Neurology·2026
Same author

The dual correlations between core beliefs changes and emotion regulation among disaster-affected residents: the moderating role of religiousness orientation.

Frontiers in psychology·2026
Same author

Results of a phase II open-label, multiple-dose study of vamorolone (VBP15-006) in 7- to < 18-year-old boys with duchenne muscular dystrophy.

Journal of neurology·2026

Related Experiment Video

Updated: Jun 4, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

DDN: a caBIG® analytical tool for differential network analysis.

Bai Zhang1, Ye Tian, Lu Jin

  • 1Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.

Bioinformatics (Oxford, England)
|February 8, 2011
PubMed
Summary

Differential dependency network (DDN) analysis identifies network biomarkers for predicting phenotypes. This systems biology tool visualizes transcriptional network changes between biological conditions.

More Related Videos

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
06:37

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Related Experiment Videos

Last Updated: Jun 4, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
06:37

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • The cancer Biomedical Informatics Grid (caBIG®) developed the Differential Dependency Network (DDN) analytical tool.
  • DDN is designed to detect and visualize significant topological changes in transcriptional networks.
  • It serves as a valuable tool for researchers across biomedical fields.

Purpose of the Study:

  • To introduce Differential Dependency Network (DDN) as an analytical tool.
  • To enable differential network analysis for identifying network biomarkers.
  • To provide a systems biology approach for understanding biological network alterations.

Main Methods:

  • Utilizing the Differential Dependency Network (DDN) tool for network analysis.
  • Comparing transcriptional networks between two biological conditions.
  • Developing a Cytoscape plug-in (CytoDDN) for integrated analysis and visualization.

Main Results:

  • DDN effectively detects statistically significant topological changes in transcriptional networks.
  • The tool facilitates the definition of network biomarkers predictive of phenotypes.
  • CytoDDN seamlessly integrates network analysis with visualization.

Conclusions:

  • DDN offers a novel approach for differential network analysis in systems biology.
  • The tool aids in inferring the impact of genetic, epigenetic, or environmental factors on biological networks and clinical phenotypes.
  • The availability of both standalone and Cytoscape plug-in versions enhances its accessibility and utility.