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

Spot intensity ratio statistics in two-channel microarray experiments.

Taesung Park1, Kiwoong Kim, Sung-Gon Yi

  • 1Department of Statistics, Seoul National University, Seoul, Korea. tspark@stats.snu.ac.kr

Journal of Bioinformatics and Computational Biology
|September 6, 2007
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

Automated lipid detection in spectroscopic optical coherence tomography using a weakly supervised deep learning network.

Biomedical optics express·2026
Same author

Impact of ACEI/ARB use on COVID-19 mortality in patients with ischaemic heart disease: insights from South Korean National health insurance service data.

BMC infectious diseases·2025
Same author

Targeted Theranostic Strategy for Atherosclerotic Plaques Using Intravascular Multimodal Imaging Techniques.

Journal of lipid and atherosclerosis·2025
Same author

Zero-Field Overhauser Dynamic Nuclear Polarization.

ACS omega·2025
Same author

Intracoronary Structural-Molecular Imaging for Multitargeted Characterization of High-Risk Plaque: First-in-Human OCT-FLIm.

JAMA cardiology·2025
Same author

Machine learning models for pancreatic cancer diagnosis based on microbiome markers from serum extracellular vesicles.

Scientific reports·2025
Same journal

CNV-ECOD: A copy number variation detection method based on ECOD algorithm using next-generation sequencing data.

Journal of bioinformatics and computational biology·2026
Same journal

ReinVar: A model-free paradigm-based reinforcement learning approach to detect copy number variation.

Journal of bioinformatics and computational biology·2026
Same journal

When pipelines run but coordinates fail: A simple spatial specificity check for false locality in post-GWAS analysis.

Journal of bioinformatics and computational biology·2026
Same journal

Comparative benchmarking of template-based, evolutionary-diffusion, and generative language models for IsPETase structure prediction.

Journal of bioinformatics and computational biology·2026
Same journal

Trap spaces as labelled ideals of SCC posets: A structural-functional theory of reachability in asynchronous boolean networks.

Journal of bioinformatics and computational biology·2026
Same journal

Erratum - DDINet: Drug-drug interaction prediction network based on multi-molecular fingerprint features and multi-head attention centered weighted autoencoder.

Journal of bioinformatics and computational biology·2026
See all related articles

Researchers developed a new log-transformed ratio statistic for two-channel microarray analysis. This improved statistic offers more reliable results than the conventional method, enhancing DNA sequence abundance accuracy.

Area of Science:

  • Genomics
  • Bioinformatics
  • Statistical Analysis

Background:

  • Two-channel microarrays rely on accurate fluorescence intensity ratios for DNA sequence abundance analysis.
  • Current statistical methods for ratio analysis in microarrays lack sufficient reliability.
  • Log-transformation of ratios is standard, but ratio calculation accuracy is critical.

Purpose of the Study:

  • To introduce and evaluate a novel log-transformed ratio statistic for two-channel microarray experiments.
  • To compare the performance of the new ratio statistic against the conventional method.
  • To enhance the reliability of statistical analyses in microarray data.

Main Methods:

  • Analytical comparison of new and conventional ratio statistics under a log-normal distribution.

Related Experiment Videos

  • Empirical validation using two-channel microarray data from mouse RNA and yeast in vitro transcript (IVT) hybridization.
  • Statistical assessment of ratio accuracy and performance.

    • Main Results:

    • The proposed ratio statistic demonstrates superior performance compared to the conventional statistic.
    • Analytical comparisons support the improved accuracy of the new statistic.
    • Experimental data validates the enhanced reliability of the new ratio statistic.

    Conclusions:

    • The novel log-transformed ratio statistic offers a more reliable approach for two-channel microarray data analysis.
    • This advancement can lead to more accurate interpretations of DNA sequence abundance.
    • The study highlights the importance of robust statistical methods in genomic research.