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

Ribosome Profiling02:24

Ribosome Profiling

4.3K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.3K

You might also read

Related Articles

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

Sort by
Same author

From ecological foundations to nature-based solutions: A semantic-temporal scientometric analysis of urban expansion and green space research.

Journal of environmental management·2026
Same author

Feline Assistance: Cats, unlike dogs and toddlers, help you only when it helps them.

Scientific American·2026
Same author

Patronus: patient-specific training setup for aortic aneurysm repair.

International journal of computer assisted radiology and surgery·2026
Same author

GAN-GA: A Deep-Evolutionary Approach for Synthesizing Functionally Similar Heat Shock Proteins.

IEEE journal of biomedical and health informatics·2026
Same author

Real-time planar angiographic cerebral perfusion imaging.

International journal of computer assisted radiology and surgery·2026
Same author

Lighting the Way: The forest may be glowing-at least to deer.

Scientific American·2026

Related Experiment Video

Updated: Apr 13, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

A PSO-Based Approach for Pathway Marker Identification From Gene Expression Data.

Monalisa Mandal, Jyotirmay Mondal, Anirban Mukhopadhyay

    IEEE Transactions on Nanobioscience
    |May 3, 2015
    PubMed
    Summary

    This study introduces a novel pathway activity inference method using Particle Swarm Optimization (PSO) to identify significant genes within biological pathways from gene expression data, improving accuracy over existing techniques.

    More Related Videos

    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
    05:01

    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

    Published on: July 1, 2020

    3.9K
    Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
    09:45

    Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

    Published on: March 14, 2022

    3.5K

    Related Experiment Videos

    Last Updated: Apr 13, 2026

    Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
    03:08

    Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

    Published on: October 3, 2025

    1.1K
    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
    05:01

    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

    Published on: July 1, 2020

    3.9K
    Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
    09:45

    Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

    Published on: March 14, 2022

    3.5K

    Area of Science:

    • Bioinformatics
    • Systems Biology
    • Computational Biology

    Background:

    • Pathway activity inference from gene expression data is crucial for understanding biological systems.
    • Existing methods often include non-significant genes, potentially reducing accuracy.
    • Identifying key genes within pathways is essential for robust analysis.

    Purpose of the Study:

    • To propose a new pathway activity inference scheme using Particle Swarm Optimization (PSO).
    • To identify important genes within biological pathways, rather than considering all member genes.
    • To improve the accuracy and biological relevance of pathway activity inference.

    Main Methods:

    • Gene expression data (microarray) and public pathway databases were utilized.
    • Particle Swarm Optimization (PSO) was employed to select significant genes for each pathway.
    • Pathway activity was summarized and evaluated using t-scores, aiming to maximize the average t-score.

    Main Results:

    • The proposed PSO-based method effectively identifies important genes contributing to pathway activity.
    • Performance evaluation using 10-fold cross-validation demonstrated superior results compared to existing techniques.
    • Analysis of pathway activities inferred from varying percentages of significant pathways showed promising trends.

    Conclusions:

    • The developed PSO-based approach offers a robust and accurate method for pathway activity inference.
    • Focusing on significant genes enhances the reliability of pathway analysis from gene expression data.
    • The findings have implications for advancing bioinformatics and systems biology research.