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

CNplot: visualizing pre-clustered networks.

Nizar N Batada1

  • 1Program in Biophysics, Stanford University, Stanford, CA 94305, USA. nbatada@stanford.edu

Bioinformatics (Oxford, England)
|February 12, 2004
PubMed
Summary
This summary is machine-generated.

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

Correction: Single-cell RNA sequencing of human breast tumour-infiltrating immune cells reveals a γδ T-cell subtype associated with good clinical outcome.

Life science alliance·2023
Same author

Systemic Influences of Mammary Cancer on Monocytes in Mice.

Cancers·2022
Same author

Single-cell RNA sequencing of human breast tumour-infiltrating immune cells reveals a γδ T-cell subtype associated with good clinical outcome.

Life science alliance·2020
Same author

scID Uses Discriminant Analysis to Identify Transcriptionally Equivalent Cell Types across Single-Cell RNA-Seq Data with Batch Effect.

iScience·2020
Same author

Is there a causal link between PTEN deficient tumors and immunosuppressive tumor microenvironment?

Journal of translational medicine·2020
Same author

SET8 localization to chromatin flanking DNA damage is dependent on RNF168 ubiquitin ligase.

Cell cycle (Georgetown, Tex.)·2019

CNplot offers a straightforward method for visualizing network data connectivity. This technique provides informative summaries of pre-clustered network data, aiding in network analysis.

Area of Science:

  • Computational Biology
  • Network Science
  • Data Visualization

Background:

  • Network data analysis often requires effective visualization techniques.
  • Pre-clustering network data is a common preprocessing step.

Purpose of the Study:

  • To introduce CNplot, a novel technique for visualizing global network connectivity.
  • To demonstrate the simplicity and effectiveness of CNplot for network data summary.

Main Methods:

  • CNplot utilizes a visualization approach for pre-clustered network data.
  • The technique focuses on global connectivity patterns.

Main Results:

  • CNplot provides a simple and easy-to-implement method.
  • The visualization technique generates informative and satisfactory summaries of network data.

Related Experiment Videos

Conclusions:

  • CNplot is a valuable tool for visualizing global connectivity in pre-clustered network data.
  • The technique offers an efficient and effective way to summarize complex network structures.