Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

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

Sort by

Same author

Multifunctional Hyaluronic Acid Releasing Hydrogel Film With Nano/Micro Wrinkles: Thin Acne Patch for Localized Therapeutics.

Macromolecular bioscience·2026

Same author

NeuroMDAVIS: Visualization of Single-Cell Multi-Omics Data under Deep Learning Framework.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same author

Identifying the net information flow direction in mutually coupled non-identical chaotic oscillators.

Chaos (Woodbury, N.Y.)·2026

Same author

An integrated multi-criteria decision-making approach for evaluating healthcare service quality: a provider-centric assessment.

Journal of health organization and management·2025

Same author

Human sclerostin-inspired short peptides reverse osteoporosis and suppress joint degeneration in osteoarthritis via opposing Wnt pathways.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2025

Same author

Two-dimensional materials can inhibit Aβ fibrillation in Alzheimer's disease.

Physical chemistry chemical physics : PCCP·2025

Search research articles

Related Experiment Video

Updated: Jun 21, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

Interval based fuzzy systems for identification of important genes from microarray gene expression data: Application

Rajat K De¹, Anupam Ghosh

¹Indian Statistical Institute, Kolkata, West Bengal, India. rajat@isical.ac.in

Journal of Biomedical Informatics

|July 14, 2009

Summary

This study introduces novel fuzzy systems for identifying genes involved in cancer development. The method effectively selects biologically significant genes, outperforming existing techniques in various human cancers.

More Related Videos

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Related Experiment Videos

Last Updated: Jun 21, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Carcinogenesis involves complex genetic alterations.
Identifying key genes in cancer development is crucial for targeted therapies.
Existing gene selection methods have limitations in identifying biologically relevant genes.

Purpose of the Study:

To develop and validate two interval-based fuzzy systems for identifying genes mediating carcinogenic development.
To compare the proposed methodology against five established gene selection methods.
To enhance the biological significance of selected genes for disease mediation.

Main Methods:

Development of two interval-based fuzzy systems.
Incorporation of linguistic fuzzy sets (low, medium, high) for gene classification.
Dimensionality reduction and rule generation/grouping techniques for gene selection.
Validation using five human cancer microarray datasets (lung, colon, sarcoma, breast, leukemia).

Main Results:

The proposed fuzzy systems effectively identified genes mediating carcinogenic development across diverse human tissues.
Demonstrated superior capability in selecting important genes compared to Significance Analysis of Microarrays (SAM), Signal-to-Noise Ratio (SNR), Neighborhood analysis (NA), Bayesian Regularization (BR), and Data-adaptive (DA).
Enrichment analysis of Gene Ontology (GO) categories of selected genes showed higher biological significance (based on P-values).

Conclusions:

The developed interval-based fuzzy systems offer a powerful and effective approach for identifying biologically significant genes in cancer development.
This methodology surpasses existing gene selection techniques in accuracy and biological relevance.
The findings provide a valuable tool for advancing cancer research and therapeutic strategies.