Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...
Background: The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional l...
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
When a file is to be transmitted from a sender to a recipient and when the latter already has a file somewhat similar to it, remote differential compression seeks to determine t...
A relevant consequence of the unceasing expansion of the Web and e-commerce is the growth of the demand of new Web sites and Web applications. The software industry is facing the ...
Giuseppe A. Di Lucca, Massimiliano Di Penta, Anna ...