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

A System to Find Genetic Networks Using Weighted Network Model.

Moriyama, Shinohara, Takeda

    Genome Informatics. Workshop on Genome Informatics
    |November 10, 2000
    PubMed
    Summary

    This study introduces a system to identify genetic networks from gene expression data. It visualizes these networks as weighted graphs, representing gene activation strengths and computational complexity.

    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

    Successful closure of a rectovaginal fistula following low anterior resection by endoscopic fibrin glue application.

    Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2013
    Same author

    Beta amyloid peptide (Abeta42) is internalized via the G-protein-coupled receptor FPRL1 and forms fibrillar aggregates in macrophages.

    FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2001
    Same author

    Effects of Microwave Heating on the Loss of Vitamin B(12) in Foods.

    Journal of agricultural and food chemistry·2001
    Same author

    Catalytic Activity of Hexokinase in Reversed Micelles.

    Journal of colloid and interface science·2000
    Same author

    A new alternative to the mannich reaction: tandem radical addition-cyclization reaction for asymmetric synthesis of gamma-butyrolactones and beta-amino acids

    Organic letters·2000
    Same author

    Plasmon-loss imaging of chains of crystalline-silicon nanospheres and silicon nanowires

    Journal of electron microscopy·2000

    Area of Science:

    • Systems biology
    • Bioinformatics
    • Computational biology

    Background:

    • Understanding gene interactions is crucial for deciphering biological processes.
    • Existing methods for genetic network inference can be complex and computationally intensive.

    Purpose of the Study:

    • To develop a novel system for inferring genetic networks from gene disruption and overexpression data.
    • To devise a strategy for visualizing these inferred genetic networks as weighted graphs.
    • To analyze the computational complexity associated with the network visualization.

    Main Methods:

    • The system models genetic networks as weighted graphs.
    • Edge weights signify the strength of gene activation between genes.
    • Data is derived from experiments involving multiple gene disruptions and overexpressions.

    Related Experiment Videos

    Main Results:

    • The paper presents an overview of the developed system for genetic network inference.
    • A specific strategy for visualizing the weighted genetic network is detailed.
    • The computational complexity of the visualization process is investigated.

    Conclusions:

    • The developed system offers a method for constructing and visualizing genetic networks.
    • The visualization strategy aims to represent gene activation strengths effectively.
    • Understanding computational complexity is key for scalable network analysis.