ArrayLeaRNA
An Excel Add-in for Transcriptome analysis with Microarray Data
ArrayLeaRNA is a new approach to the analysis of microarray hybridisation data derived from gene expression profile studies. ArrayLeaRNA introduces a Bayesian model based on the Gumble distribution, in combination with printed genomic DNA controls and predicted operon information.
Genomic controls printed on the array are used to normalize the dataset and solve the Bayesian model.
The predicted operon structure helps the classification of genes with low confidence measurements.
ArrayLeaRNA is a user-friendly Excel add-in written in Visual Basic (Microsoft Excel 97 or above is required). ArrayLeaRNA is part of the system used in-house at the Institute of Food Research to analyse microarray hybridisation data.
Reference
Carmen Pin, Mark Reuter. Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approach. 2007. BMC Bioinformatics 8:455.
