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

DNA Microarrays02:34

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...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

You might also read

Related Articles

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

Sort by
Same author

Profiling of immunomodulatory anti-cytokine autoantibodies associated with disease heterogeneity in a multiethnic Asian cohort.

Scientific reports·2026
Same author

Early Gut Microbiome Alterations in Mild Cognitive Impairment Reflect Changes in Alzheimer Disease.

Alzheimer disease and associated disorders·2026
Same author

Gut Microbiome Differences Between Early Alzheimer Disease and Idiopathic Normal Pressure Hydrocephalus.

Alzheimer disease and associated disorders·2026
Same author

Metabolic changes and plasma glycine predict the risk of acute cellular rejection in heart transplantation.

JTCVS open·2026
Same author

Exudate management with a next-generation multilayered foam dressing in traumatic and surgical wounds: a prospective, multicentre study.

Journal of wound care·2026
Same author

Is Parenthood Contributing to Emotional Wellbeing? The Neutrality Paradox and a Possible Resolution.

Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior·2026

Related Experiment Video

Updated: Jul 5, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

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

Published on: December 10, 2012

Bayesian hierarchical model for estimating gene expression intensity using multiple scanned microarrays.

Rashi Gupta1, Elja Arjas, Sangita Kulathinal

  • 1Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland. rashi1@live.com

EURASIP Journal on Bioinformatics & Systems Biology
|May 10, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Bayesian latent intensity model for DNA microarray analysis. The method enhances signal quality, improving gene expression measurement accuracy and dynamic range using multiple scanner sensitivities.

More Related Videos

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets
03:37

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Published on: March 1, 2024

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform
13:14

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 10, 2009

Related Experiment Videos

Last Updated: Jul 5, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

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

Published on: December 10, 2012

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets
03:37

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Published on: March 1, 2024

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform
13:14

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 10, 2009

Area of Science:

  • Genomics
  • Bioinformatics
  • Statistical Modeling

Background:

  • DNA microarrays are crucial for gene expression analysis.
  • Current methods using single scans have limitations in accuracy and dynamic range.
  • Improving signal quality is essential for reliable gene expression measurement.

Purpose of the Study:

  • To develop a method for enhancing DNA microarray signal quality.
  • To improve the accuracy and dynamic range of gene expression measurements.
  • To introduce a Bayesian latent intensity model for microarray data analysis.

Main Methods:

  • Utilizing multiple scans at varying scanner sensitivities.
  • Applying a Bayesian latent intensity model for data analysis.
  • Testing the method on a self-self hybridization dataset.

Main Results:

  • The proposed method significantly improves signal quality from DNA microarrays.
  • Enhanced accuracy in measuring gene expression across all ranges.
  • Extended dynamic range for gene expression, particularly at the high end.
  • Demonstrated improved precision compared to standard single-scan methods.

Conclusions:

  • The Bayesian latent intensity model offers a robust approach to DNA microarray data analysis.
  • The multi-scan method enhances precision and extends the dynamic range of gene expression measurements.
  • This generic method is applicable across various organisms, scanners, and image analysis software.