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

Pathways to the analysis of microarray data.

R Keira Curtis1, Matej Oresic, Antonio Vidal-Puig

  • 1University of Cambridge Department of Clinical Biochemistry, Box 232, Addenbrooke's Hospital, Hills Road, Cambridge, UK, CB2 2QR. rkc24@cam.ac.uk

Trends in Biotechnology
|June 14, 2005
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

Integrated analysis of insulin resistance reveals metabolic remodeling following diet switch-triggered calorie reduction.

Science advances·2026
Same author

Glycine-GLRA1-calmodulin signaling regulates endoplasmic reticulum calcium to sustain insulin secretion and β-cell function.

Life metabolism·2026
Same author

The suprachiasmatic nucleus: a central pacemaker for temporal coordination of energy metabolic homeostasis.

Reviews in endocrine & metabolic disorders·2026
Same author

Trajectory of weight regain after cessation of GLP-1 receptor agonists: a systematic review and nonlinear meta-regression.

EClinicalMedicine·2026
Same author

miR-10b-5p regulates adipocyte lineage commitment and adipogenesis via targeting of Gata6 and Tubby.

Cell communication and signaling : CCS·2026
Same author

PRMT3-mediated post-translational adaptation to fasting regulates metabolic flexibility.

Nature communications·2026
Same journal

Smart biomaterials: From responsiveness to closed-loop sensing and feedback.

Trends in biotechnology·2026
Same journal

Bacterial spores as a modular platform for the production of amyloids for materials.

Trends in biotechnology·2026
Same journal

The oriGen case and Mexico's regulatory blind spots in genomic biobanking.

Trends in biotechnology·2026
Same journal

A caspase-3-activated protein expression system for apoptosis visualization and apoptosis-pyroptosis conversion to boost antitumor activity.

Trends in biotechnology·2026
Same journal

Over 4 months of ethylene production using solid-state photosynthetic cell factories.

Trends in biotechnology·2026
Same journal

Closing the nitrogen loop in groundwater with biohybrid technologies.

Trends in biotechnology·2026
See all related articles

Microarray technology enables simultaneous gene expression measurement. Pathway analysis tools are crucial for interpreting this large data, aiding disease mechanism discovery.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Microarray technology allows simultaneous measurement of thousands of gene expressions.
  • Interpreting large gene expression datasets requires advanced computational tools.

Purpose of the Study:

  • To review and compare pathway analysis methods for interpreting microarray data.
  • To evaluate the performance of binomial distribution, z scores, and gene set enrichment analysis.

Main Methods:

  • Pathway analysis incorporating pathway or functional annotations.
  • Comparison of three pathway analysis methods (binomial, z scores, GSEA) on two microarray datasets.

Main Results:

  • Pathway analysis is effective in identifying subtle yet consistent changes in gene expression.

Related Experiment Videos

  • The study compared the performance of different pathway analysis techniques.

    • Conclusions:

    • Pathway analysis is a valuable tool for understanding biological processes, disease mechanisms, and physiological responses.
    • Development of new tools for data integration and interpretation is essential for leveraging microarray data.