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

ELB-Q: a new method for improving the robustness in DNA microarray image quantification.

Marc Q Ma1, Kai Zhang, Hui-Yun Wang

  • 1Department of Computer Science and the Center of Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, NJ 07102, USA. qma@oak.njit.edu

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|October 5, 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

Retraction: Upregulated TRIM29 promotes proliferation and metastasis of nasopharyngeal carcinoma via PTEN/AKT/mTOR signal pathway.

Oncotarget·2026
Same author

Erratum: Androgen Receptor Promotes Gastric Carcinogenesis via Upregulating Cell Cycle-Related Kinase Expression: Erratum.

Journal of Cancer·2025
Same author

Downregulation of PGAM2 alleviates angiotensin II-induced cardiac hypertrophy by destabilizing HSP90 and inactivating the mTOR/IKKα signaling pathway.

International journal of biological sciences·2025
Same author

MAF1 inhibits hepatocarcinogenesis by fostering an immunostimulatory tumor microenvironment.

Journal for immunotherapy of cancer·2025
Same author

Erratum: MT1G is Silenced by DNA Methylation and Contributes to the Pathogenesis of Hepatocellular Carcinoma: Erratum.

Journal of Cancer·2024
Same author

Quinoline as an Intramolecular Hydride Shuttle in the Deoxygenative Coupling Reaction of Alcohol and the Inert Methyl C(sp<sup>3</sup>)-H Bond.

The Journal of organic chemistry·2024
Same journal

Categorization and segmentation of intestinal content frames for wireless capsule endoscopy.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

An intelligent scoring system and its application to cardiac arrest prediction.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Guest editorial: Multimedia services and technologies for e-health (MUST-EH).

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Editorial: From “information technology in biomedicine” to “biomedical and health informatics”.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Equipment location in hospitals using RFID-based positioning system.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Distributed system for cognitive stimulation over interactive TV.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2012
See all related articles

A new method, Extended Local Background Quantification (ELB-Q), improves microarray image analysis for high-density arrays. ELB-Q offers robust and accurate signal intensity quantification, outperforming existing techniques.

Area of Science:

  • Biomedical Engineering
  • Bioinformatics
  • Genomics

Background:

  • Accurate signal intensity quantification is crucial for microarray studies.
  • Traditional methods struggle with high-density microarrays due to limited pixel data.
  • Challenges arise when local background and foreground pixel counts decrease.

Purpose of the Study:

  • To develop a novel method for robust microarray image quantification.
  • To address limitations of existing techniques in high-density microarray analysis.
  • To introduce the Extended Local Background Quantification (ELB-Q) method.

Main Methods:

  • Utilizes a large extended local background (ELB) interspot region for background estimation.
  • Excludes noisy background pixels during ELB calculation.

Related Experiment Videos

  • Quantifies spot intensities (mean, median) after excluding background pixels in target regions.

    • Main Results:

    • ELB-Q is well-suited for high-density microarray image quantification.
    • The method leverages spatial information and makes no assumptions about spot shape or size.
    • ELB-Q demonstrates superior robustness and accuracy compared to GenePix Pro and MRF modeling on simulated and real data.

    Conclusions:

    • ELB-Q provides a reliable and accurate approach for microarray image quantification.
    • The method is particularly effective for high-density arrays.
    • ELB-Q software is available in Matlab for further research.