GEDI: a user-friendly toolbox for analysis of large-scale gene expression data

Background: Several 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. Results: Here, 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. Conclusion: GEDI is ...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: André Fujita, João Ricardo Sato, Carlos Eduardo Ferreira, Mari Cleide Sogayar
• Keywords: BMCBI 2007, Gene Expression, Gene Expression Analysis, Gene Expression Data