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

RNA-seq03:21

RNA-seq

10.8K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.8K
Genetic Screens02:46

Genetic Screens

5.3K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.3K

You might also read

Related Articles

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

Sort by
Same author

DiCE: differential centrality-ensemble analysis based on gene expression profiles and protein-protein interaction network.

Nucleic acids research·2025
Same author

DiCE: differential centrality-ensemble analysis based on gene expression profiles and protein-protein interaction network.

bioRxiv : the preprint server for biology·2025
Same author

Biomarker Identification for Alzheimer's Disease Using a Multi-Filter Gene Selection Approach.

International journal of molecular sciences·2025
Same author

CDHu40: a novel marker gene set of neuroendocrine prostate cancer.

Briefings in bioinformatics·2024
Same author

CDHu40: a novel marker gene set of neuroendocrine prostate cancer (NEPC).

bioRxiv : the preprint server for biology·2024
Same author

An Efficient Binary Sand Cat Swarm Optimization for Feature Selection in High-Dimensional Biomedical Data.

Bioengineering (Basel, Switzerland)·2023

Related Experiment Video

Updated: Nov 6, 2025

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

8.9K

Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data.

Elnaz Pashaei1, Elham Pashaei2

  • 1Department of Software Engineering, Istanbul Aydin University, Istanbul, Turkey.

Analytical Biochemistry
|May 11, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid gene selection method (DBH) combining binary dragonfly and black hole algorithms. It efficiently identifies key genes for improved disease classification accuracy, outperforming existing techniques.

Keywords:
Binary black hole algorithmBinary dragonfly algorithmCancer classificationGene expressionGene selection

More Related Videos

Ubiquitous and Tissue-specific RNA Targeting in Drosophila Melanogaster using CRISPR/CasRx
06:37

Ubiquitous and Tissue-specific RNA Targeting in Drosophila Melanogaster using CRISPR/CasRx

Published on: February 5, 2021

3.3K
Digital-Droplet PCR to Detect Indels Mutations in Genetically Modified Anopheline Mosquito Populations
05:51

Digital-Droplet PCR to Detect Indels Mutations in Genetically Modified Anopheline Mosquito Populations

Published on: June 28, 2021

3.7K

Related Experiment Videos

Last Updated: Nov 6, 2025

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

8.9K
Ubiquitous and Tissue-specific RNA Targeting in Drosophila Melanogaster using CRISPR/CasRx
06:37

Ubiquitous and Tissue-specific RNA Targeting in Drosophila Melanogaster using CRISPR/CasRx

Published on: February 5, 2021

3.3K
Digital-Droplet PCR to Detect Indels Mutations in Genetically Modified Anopheline Mosquito Populations
05:51

Digital-Droplet PCR to Detect Indels Mutations in Genetically Modified Anopheline Mosquito Populations

Published on: June 28, 2021

3.7K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Machine Learning

Background:

  • Gene selection is crucial for disease classification but challenged by redundant genes.
  • Current methods struggle to extract relevant disease information from large gene sets.

Purpose of the Study:

  • Introduce a novel hybrid approach (DBH) for effective gene selection.
  • Improve classification accuracy and identify stable, discriminative gene sets.
  • Address challenges in handling high-dimensional gene expression data.

Main Methods:

  • Hybridization of binary dragonfly algorithm (BDF) and binary black hole algorithm (BBHA).
  • Integration with Minimum Redundancy Maximum Relevancy (MRMR) filter for dimensionality reduction.
  • Evaluation on eight benchmark gene expression datasets and real RNA-Seq data.

Main Results:

  • The proposed MRMR-DBH approach significantly enhances classification accuracy.
  • Achieves a substantial reduction in the number of selected genes compared to existing methods.
  • Successfully identified significant genes for angiotensin-converting enzyme 2 (ACE2) in asthmatic patients.

Conclusions:

  • The MRMR-DBH framework offers a promising approach for identifying discriminative gene combinations.
  • Demonstrates high classification accuracy and efficiency in gene selection.
  • Potential for improved diagnostics and risk stratification in diseases like COVID-19.