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

Search research articles

Related Experiment Videos

MAD: a suite of tools for microarray data management and processing.

B Liao¹, W Hale, C B Epstein

¹Center for Biomedical Inventions, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd, Dallas, TX 75390, USA.

Bioinformatics (Oxford, England)

|December 20, 2000

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Hypertension and myocardial fibrosis: A systematic review and meta-analysis.

Clinical radiology·2026

Same author

Enhanced S-Factor for the ^{14}N(p,γ)^{15}O Reaction and Its Impact on the Solar Composition Problem.

Physical review letters·2025

Same author

The NSUN2-YBX1 axis enhances 5-Methylcytosine modification to facilitate NPM1-mediated nuclear translocation of PKM2, augmenting the Warburg effect and promoting nasopharyngeal carcinoma progression in a mouse model.

Rhinology·2025

Same author

Experimental Limits on Solar Reflected Dark Matter with a New Approach on Accelerated-Dark-Matter-Electron Analysis in Semiconductors.

Physical review letters·2024

Same author

Impaired local Vitamin D3 metabolism contributes to IL-36g overproduction in epithelial cells in chronic rhinosinusitis with nasal polyps.

Rhinology·2023

Same author

Constraints on Sub-GeV Dark Matter-Electron Scattering from the CDEX-10 Experiment.

Physical review letters·2022

Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026

Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026

Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026

Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026

Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026

Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026

See all related articles

Microarray Data Management and Processing (MAD) software offers integrated tools for Windows users to manage, process, and analyze microarray data. This comprehensive suite facilitates data storage, manipulation, and preparation for cluster analysis.

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Microarray technology generates large datasets requiring specialized management.
Existing tools may lack integration for comprehensive data processing.

Purpose of the Study:

To introduce Microarray Data Management and Processing (MAD) software.
To provide an integrated solution for microarray data analysis.

Main Methods:

Development of a Windows-integrated software suite.
Implementation of a relational database for data storage.
Inclusion of user-interfaces for data manipulation.
Integration of text file parsers and Excel macros for automation.
Development of a generator for cluster analysis-ready files.

Related Experiment Videos

Main Results:

MAD provides a unified platform for microarray data handling.
The software automates key data processing steps.
Output files are optimized for downstream cluster analysis.

Conclusions:

MAD software offers a comprehensive and user-friendly solution for microarray data management and processing.
The integrated approach streamlines the analysis workflow.
The software is freely available, promoting accessibility in research.