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

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026

Same author

Functional consistency and molecular evolution: a comprehensive characterization of primary endometrial cancer-associated fibroblasts during in vitro expansion.

Journal of translational medicine·2026

Same author

Association of the triglyceride-glucose index with the risk of sarcopenia: a meta-analysis with clinical implications.

BMC endocrine disorders·2026

Same author

A Novel Humanized Lethal Mouse Model of SARS-CoV-2-Associated Disease.

Journal of medical virology·2026

Same author

Probing Genomic Diversity of <i>Cronobacter sakazakii</i> in the United States by Single Nucleotide Polymorphisms.

Foods (Basel, Switzerland)·2026

Same author

A Circulating Proteomic Signature of Allostatic Load Predicts Multisystem Disease and Mortality.

Research square·2026

Search research articles

Related Experiment Video

Updated: Apr 8, 2026

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

A Bayesian methodology for detecting targeted genes under two related experiments.

Naveen K Bansal¹, Hongmei Jiang², Prachi Pradeep¹

¹Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, 53051, WI, U.S.A.

Statistics in Medicine

|June 27, 2015

Summary

This summary is machine-generated.

This study introduces a Bayesian method for identifying genes with coordinated expression changes across experiments. The approach effectively detects simultaneously upregulated or downregulated genes, improving analysis of gene expression data.

Keywords:

Bayes rule EM algorithm false discovery rate gene expression microRNA multiple hypotheses

More Related Videos

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

DNA-affinity-purified Chip DAP-chip Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

DNA-affinity-purified Chip DAP-chip Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

Related Experiment Videos

Last Updated: Apr 8, 2026

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

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

DNA-affinity-purified Chip DAP-chip Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

DNA-affinity-purified Chip DAP-chip Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

Area of Science:

Bioinformatics
Statistical Genetics
Genomics

Background:

Gene expression data analysis often involves correlating gene expression across multiple experiments.
Identifying genes with consistent regulatory patterns (up/downregulation) in both experiments is crucial for understanding biological mechanisms.

Purpose of the Study:

To develop a Bayesian methodology for detecting genes that are simultaneously upregulated or downregulated across two experiments.
To introduce a novel false discovery rate (FDR) criterion tailored for directional multiple hypotheses testing in gene expression studies.

Main Methods:

A Bayesian approach utilizing directional multiple hypotheses testing.
Construction of a Bayes rule to satisfy a problem-specific false discovery rate criterion.
Comparison of the proposed method with traditional rules via simulation studies.

Main Results:

The proposed Bayesian methodology demonstrates superior performance compared to traditional methods in simulation studies.
Application to microRNA data revealed genes with simultaneous downregulation in one example and mixed regulation (down/up) in another.
The methodology's adaptability to more than two experiments was discussed.

Conclusions:

The developed Bayesian method provides a robust framework for identifying co-regulated genes across multiple experiments.
This approach enhances the analysis of gene expression data, particularly for microRNA studies.
The proposed methodology offers a flexible and powerful tool for complex genomic data analysis.