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

Protein Networks02:26

Protein Networks

4.7K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.7K
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

76
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
76

You might also read

Related Articles

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

Sort by
Same author

Degradation of Bisphenol A by Nitrogen-Rich ZIF-8-Derived Carbon Materials-Activated Peroxymonosulfate.

Toxics·2024
Same author

Review of Drug Repositioning Approaches and Resources.

International journal of biological sciences·2018
Same author

A network-based pathway-expanding approach for pathway analysis.

BMC bioinformatics·2017
Same author

Highly selective biotransformation of ginsenoside Rb1 to Rd by the phytopathogenic fungus Cladosporium fulvum (syn. Fulvia fulva).

Journal of industrial microbiology & biotechnology·2009
Same author

Human DNA sequences: more variation and less race.

American journal of physical anthropology·2009
Same author

Determination of organophosphorus pesticides in underground water by SPE-GC-MS.

Journal of chromatographic science·2009

Related Experiment Video

Updated: Mar 25, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.3K

Network-based methods for identifying critical pathways of complex diseases: a survey.

Qiaosheng Zhang1, Jie Li, Hanqing Xue

  • 1School of Computer Science and Technology, Harbin Institute of Technology, China. jieli@hit.edu.cn.

Molecular Biosystems
|February 19, 2016
PubMed
Summary

Analyzing biological pathways is crucial for understanding complex diseases like cancer. This review examines network-based pathway analysis methods, highlighting their strengths and weaknesses to guide future research.

More Related Videos

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
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.7K

Related Experiment Videos

Last Updated: Mar 25, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.3K
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
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.7K

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics and Proteomics

Background:

  • Complex diseases, including cancers, arise from multifactorial genetic and pathway dysregulation.
  • Understanding disease mechanisms necessitates integrating diverse high-throughput data, such as genomics and proteomics.
  • Network-based approaches are emerging as key tools for pathway analysis.

Purpose of the Study:

  • To provide a comprehensive overview of current network-based pathway analysis methods.
  • To critically evaluate the algorithmic benefits and limitations of seven major methods.
  • To offer insights for developing next-generation pathway analysis tools.

Main Methods:

  • Systematic review of seven prominent network-based pathway analysis algorithms.
  • Algorithmic perspective analysis of method strengths and weaknesses.
  • Discussion of challenges in contemporary pathway analysis.

Main Results:

  • Identified key benefits and limitations across seven distinct network-based pathway analysis methods.
  • Provided an algorithmic comparison to inform method selection and development.
  • Highlighted critical challenges for future advancements in the field.

Conclusions:

  • Network-based pathway analysis is essential for dissecting complex disease mechanisms.
  • Algorithmic evaluation is crucial for advancing pathway analysis methodologies.
  • Addressing identified challenges will pave the way for more robust next-generation methods.