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

Presence of sibling during the learning phase of imprinting affects escape behavior from a new object in chicks.

Neuroscience research·2022

Same author

Application of correlated component analysis to dynamic PET time-activity curves denoising.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2021

Same author

[Evaluation of physical activity using smartphones and wearable devices in healthcare: Current situation and future perspectives].

[Nihon koshu eisei zasshi] Japanese journal of public health·2021

Same author

Improving contrast between gray and white matter of Logan graphical analysis' parametric images in positron emission tomography through least-squares cubic regression and principal component analysis.

Biomedical physics & engineering express·2021

Same author

Changes in Autonomic Nervous System and Axillary Temperature Caused by Electric Potential Therapy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020

Same author

A strategy to account for noise in the X-variable to reduce underestimation in Logan graphical analysis for quantifying receptor density in positron emission tomography.

BMC medical imaging·2020

Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

Adaptive threshold for detecting differentially expressed genes in microarray data - a simulation study to

Yutaka Fukuoka¹, Hidenori Inaoka, Makoto Noshiro

¹School of Biomedical Science, Tokyo Medical and Dental University, Japan. fukuoka.bsm@tmd.ac.jp

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 25, 2010

Summary

This summary is machine-generated.

A new adaptive threshold method improves gene expression analysis by adjusting thresholds for different expression levels. This approach enhances accuracy in detecting gene expression changes from DNA microarray data.

More Related Videos

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Related Experiment Videos

Last Updated: Jun 6, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Gene expression analysis using DNA microarrays often relies on fixed thresholds.
Fixed thresholds may not be optimal for both highly and lowly expressed genes, potentially leading to inaccurate detection of expression changes.
Existing methods face challenges in accurately identifying differential gene expression across varying expression levels.

Purpose of the Study:

To introduce and evaluate an adaptive threshold method for gene expression analysis.
To determine the performance of the adaptive threshold in detecting changes in gene expression data.
To compare the effectiveness of adaptive thresholds against fixed thresholds in various conditions.

Main Methods:

Development of an adaptive threshold algorithm that assigns different threshold values based on gene expression levels.
Performance evaluation through simulations under diverse noise conditions.
Assessment of key metrics including sensitivity and specificity.

Main Results:

The adaptive threshold method demonstrated high sensitivity, ranging from 72.7% to 100% across different noise conditions.
Specificity consistently remained above 99% across all tested noise levels.
Simulations indicated robust performance of the adaptive threshold in gene expression analysis.

Conclusions:

The proposed adaptive threshold method offers a more accurate approach to detecting gene expression changes compared to fixed thresholds.
This method is particularly beneficial for analyzing gene expression data from DNA microarrays, especially for genes with low expression.
The adaptive threshold method shows significant promise for improving the reliability of genomic data analysis.