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 Experiment Videos

GAAS: gene array analyzer software for management, analysis and visualization of gene expression data.

M Masseroli1, P Cerveri, P G Pelicci

  • 1Bioengineering Department, Politecnico di Milano, I-20133 Milano, Italy. masseroli@biomed.polimi.it

Bioinformatics (Oxford, England)
|April 15, 2003
PubMed
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

HR-SC-an academic-developed machine learning framework to classify HRD-positive ovarian cancer patients and predict sensitivity to olaparib.

ESMO open·2025
Same author

Preoperative infection risk assessment in hip arthroplasty a matched-pair study of the reliability of 3 validated risk scales.

Acta orthopaedica Belgica·2024
Same author

Quantifying geographical accessibility to cancer clinical trials in different income landscapes.

ESMO open·2022
Same author

Femoral Neck Fractures in HIV-Positive Patients: Analysis of 10 Years Short-Term Post-operative Complications.

Malaysian orthopaedic journal·2021
Same author

Magnetic imaging defecography results are comparable to high-resolution manometry and conventional X-ray defecography in the assessment of functional pelvic floor disorders.

Techniques in coloproctology·2020
Same author

The impact of a nationwide hands-on workshop on the diagnostic rates and management of obstetrical anal sphincter Injuries in Israel.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2020
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

Gene Array Analyzer Software (GAAS) provides efficient multi-user management for large gene expression datasets. It supports data normalization, differential expression analysis, and interactive results navigation for replicated experiments.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Managing and analyzing large-scale gene expression data from replicated experiments presents significant computational challenges.
  • Existing software may lack robust multi-user capabilities or the flexibility to handle diverse data input technologies.

Purpose of the Study:

  • To introduce Gene Array Analyzer Software (GAAS), a system designed for efficient multi-user management and analysis of gene expression data.
  • To provide a comprehensive analysis engine capable of handling various data types and supporting differential gene expression analysis.

Main Methods:

  • Development of a multi-user management framework for storing user-specific settings and data.
  • Implementation of an analysis engine for background and spot quality evaluation, data normalization, and differential gene expression analysis.

Related Experiment Videos

  • Integration of interactive graphical interfaces for data navigation and output database storage.
  • Main Results:

    • GAAS enables efficient, multi-user management of substantial gene expression datasets from replicated experiments.
    • The software accommodates input data from diverse technologies within a unified management framework.
    • Users can personalize data visualization, analysis parameters, and output formats.
    • The analysis engine performs essential quality control, normalization, and differential expression analyses.

    Conclusions:

    • Gene Array Analyzer Software (GAAS) is a robust solution for multi-user gene expression data analysis.
    • Its comprehensive features facilitate efficient data management, analysis, and interpretation across various experimental designs.
    • GAAS supports the entire workflow from data input to interactive results exploration and storage.