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

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

6.4K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
6.4K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

6.9K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
6.9K

You might also read

Related Articles

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

Sort by
Same author

Identify Modules Associated with Immunotherapy Response from Mouse Tumor Profiles for Stratifying Cancer Patients.

Interdisciplinary sciences, computational life sciences·2025
Same author

Predicting Drug-Disease Associations Through Similarity Network Fusion and Multi-View Feature Projection Representation.

IEEE journal of biomedical and health informatics·2023
Same author

Early myeloid-derived suppressor cells accelerate epithelial-mesenchymal transition by downregulating ARID1A in luminal A breast cancer.

Frontiers in bioengineering and biotechnology·2022
Same author

Prediction performance of twelve tumor mutation burden panels in melanoma and non-small cell lung cancer.

Critical reviews in oncology/hematology·2021
Same author

A network-based pathway-extending approach using DNA methylation and gene expression data to identify altered pathways.

Scientific reports·2019
Same author

Dual functional dinuclear platinum complex with selective reactivity towards c-myc G-quadruplex.

Scientific reports·2018

Related Experiment Video

Updated: Jan 10, 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

884

The Pathway-Informed Deep Learning Models in Cancer Research: A Survey.

Li Zhou, Dechen Xu, Feng Zhu

    IEEE Transactions on Computational Biology and Bioinformatics
    |November 20, 2025
    PubMed
    Summary

    This review categorizes pathway-informed deep learning models in cancer research, detailing how pathway information is applied. It highlights strategies, advantages, disadvantages, and challenges for developing better models.

    More Related Videos

    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    2.2K

    Related Experiment Videos

    Last Updated: Jan 10, 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

    884
    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    2.2K

    Area of Science:

    • Computational biology and bioinformatics
    • Deep learning applications in oncology

    Background:

    • Biological pathways are crucial for understanding complex diseases, drug discovery, and personalized medicine.
    • Deep learning models incorporating pathway information show promise in cancer research due to interpretability and performance.

    Purpose of the Study:

    • To systematically review and categorize pathway-informed deep learning models used in cancer research.
    • To analyze the strategies for applying pathway information within these models.
    • To identify common pathway databases and interpretability methods.

    Main Methods:

    • A comprehensive survey of pathway-informed deep learning models in cancer research.
    • Classification of pathway information into four categories.
    • Categorization of models into three major types and seven subcategories based on pathway data utilization and application strategies.

    Main Results:

    • Pathway information application strategies are illustrated for each subcategory.
    • Advantages and disadvantages of different pathway-informed models are summarized.
    • Commonly used pathway databases and interpretability techniques are identified.

    Conclusions:

    • The review provides a structured overview of pathway-informed deep learning in cancer research.
    • It offers insights into model design, strategy selection, and identifies current challenges.
    • This work aims to guide the development of more effective pathway-informed deep learning models.