GEDI: a user-friendly toolbox for analysis of large-scale gene expression dataReport as inadecuate




GEDI: a user-friendly toolbox for analysis of large-scale gene expression data - Download this document for free, or read online. Document in PDF available to download.

BMC Bioinformatics

, 8:457

First Online: 19 November 2007Received: 21 May 2007Accepted: 19 November 2007

Abstract

BackgroundSeveral mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, and software implementations that require advanced computer programming skills. Researchers from other areas may experience difficulties when they attempting to use those methods in their research. Here we present an user-friendly toolbox which allows large-scale gene expression analysis to be carried out by biomedical researchers with limited programming skills.

ResultsHere, we introduce an user-friendly toolbox called GEDI Gene Expression Data Interpreter, an extensible, open-source, and freely-available tool that we believe will be useful to a wide range of laboratories, and to researchers with no background in Mathematics and Computer Science, allowing them to analyze their own data by applying both classical and advanced approaches developed and recently published by Fujita et al.

ConclusionGEDI is an integrated user-friendly viewer that combines the state of the art SVR, DVAR and SVAR algorithms, previously developed by us. It facilitates the application of SVR, DVAR and SVAR, further than the mathematical formulas present in the corresponding publications, and allows one to better understand the results by means of available visualizations. Both running the statistical methods and visualizing the results are carried out within the graphical user interface, rendering these algorithms accessible to the broad community of researchers in Molecular Biology.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2105-8-457 contains supplementary material, which is available to authorized users.

Download fulltext PDF



Author: André Fujita - João R Sato - Carlos E Ferreira - Mari C Sogayar

Source: https://link.springer.com/



DOWNLOAD PDF




Related documents