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

Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

3.8K
Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
Chromatographic techniques are typically named by...
3.8K
Methods of Classification and Identification01:28

Methods of Classification and Identification

1.1K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.1K
Antibiotic Selection00:57

Antibiotic Selection

59.6K
Overview
59.6K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

9.4K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
9.4K
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

1.5K
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
1.5K
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

4.1K
Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Neural-behavioral dissociation under acute high-altitude stress: an exploratory ERP study of non-specific neural recruitment and rTMS effects.

Frontiers in behavioral neuroscience·2026
Same author

Partial Discharge Gas Generation Characteristics and Molecular Degradation Mechanisms of Cellulose Polymers in Eco-Friendly Insulating Oils.

Polymers·2026
Same author

Determinants of Bird Richness in the Louzishan National Nature Reserve: Effects of Productivity and Habitat Heterogeneity Across Taxonomic and Functional Dimensions.

Ecology and evolution·2026
Same author

Molecular mechanisms of aroma quality improvement of Enshi Yulu green tea through yellow light treatment.

Food chemistry·2026
Same author

Partial Discharge Characteristics and Aging Identification Model of Polymer Insulation Materials in Environmentally Friendly Insulating Liquids Under Electro-Thermal Aging Conditions.

Polymers·2026
Same author

Upcycling of atmospheric CO<sub>2</sub> to self-healing recyclable polymers under ambient conditions.

Nature communications·2026

Related Experiment Video

Updated: Jan 23, 2026

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions
10:11

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions

Published on: August 30, 2022

4.1K

A Hybrid Gene Selection Method Based on ReliefF and Ant Colony Optimization Algorithm for Tumor Classification.

Lin Sun1,2, Xianglin Kong3, Jiucheng Xu4,5

  • 1College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China. linsunok@gmail.com.

Scientific Reports
|June 22, 2019
PubMed
Summary

This study introduces RFACO-GS, a novel hybrid gene selection method combining ReliefF and Ant Colony Optimization (ACO) for improved tumor classification. The method effectively reduces dimensionality and enhances accuracy in DNA microarray datasets.

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.0K
Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
11:12

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

8.4K

Related Experiment Videos

Last Updated: Jan 23, 2026

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions
10:11

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions

Published on: August 30, 2022

4.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.0K
Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
11:12

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

8.4K

Area of Science:

  • Bioinformatics and Computational Biology
  • Genomics and Gene Expression Analysis
  • Machine Learning in Medicine

Background:

  • Tumor classification using DNA microarray datasets is crucial for personalized medicine.
  • Effective gene selection is vital for improving the accuracy of classification models.
  • Existing gene selection methods may suffer from instability and suboptimal performance.

Purpose of the Study:

  • To propose an effective hybrid gene selection method for tumor classification.
  • To enhance the performance and reduce the dimensionality of gene expression datasets.
  • To develop a robust algorithm that combines ReliefF and Ant Colony Optimization (ACO).

Main Methods:

  • An improved ReliefF algorithm incorporating nearest/non-nearest neighbor distances and a distance coefficient for enhanced gene weighting.
  • A modified Ant Colony Optimization (ACO) algorithm with a new pruning rule and phenotype updating formula for robust gene selection.
  • Integration of improved ReliefF and ACO into a hybrid filter-wrapper gene selection algorithm (RFACO-GS).

Main Results:

  • The RFACO-GS algorithm significantly reduces the dimensionality of gene expression datasets.
  • The method effectively selects the most relevant genes for tumor classification.
  • Experimental results demonstrate high classification accuracy on public gene expression datasets.

Conclusions:

  • The proposed RFACO-GS method offers a powerful approach for gene selection in tumor classification.
  • This hybrid strategy overcomes limitations of individual algorithms, providing stable and accurate results.
  • RFACO-GS shows significant potential for advancing cancer diagnostics and research.