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MARAN: normalizing micro-array data.

Kristof Engelen1, Bert Coessens, Kathleen Marchal

  • 1ESAT-SCD, KULeuven, Kasteelpark Arenberg 10, Belgium. kristof.engelen@esat.kuleuven.ac.be

Bioinformatics (Oxford, England)
|May 2, 2003
PubMed
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MARAN is a web-based application designed for normalizing microarray data. It offers ANOVA and Loess fitting methods to identify genes with significant expression changes.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray data analysis requires robust normalization techniques.
  • Existing methods may lack comprehensive features for identifying differentially expressed genes.

Purpose of the Study:

  • To introduce MARAN, a novel web-based application for microarray data normalization.
  • To provide a user-friendly platform for analyzing gene expression changes.

Main Methods:

  • MARAN utilizes a generic Analysis of Variance (ANOVA) model.
  • Incorporates optional Locally Estimated Scatterplot Smoothing (Loess) fitting before ANOVA.
  • Includes a dedicated module for selecting genes with statistically significant expression changes.

Main Results:

Related Experiment Videos

  • MARAN effectively normalizes microarray data.
  • The application facilitates the identification of genes exhibiting significant expression alterations.
  • Loess fitting enhances the accuracy of subsequent ANOVA analysis.

Conclusions:

  • MARAN is a valuable tool for researchers working with microarray data.
  • The application simplifies the process of identifying differentially expressed genes.
  • MARAN provides a flexible and powerful solution for gene expression analysis.