Background#R##N#Biclustering algorithms for microarray data aim at discovering functionally related gene sets under different subsets of experimental conditions. Due to the problem complexity and the characteristics of microarray datasets, heuristic searches are usually used instead of exhaustive algorithms. Also, the comparison among different techniques is still a challenge. The obtained results vary in relevant features such as the number of genes or conditions, which makes it difficult to carry out a fair comparison. Moreover, existing approaches do not allow the user to specify any preferences on these properties.
['Beatriz Pontes', 'Raúl Giráldez', 'Jesús S. Aguilar-Ruiz']
Configurable pattern-based evolutionary biclustering of gene expression data