Luna De Ferrari from the Computational Systems Biology & Bioinformatics group at the University of Edinburgh has developed TaWeka,
a rapid prototyping tool for biological classifiers.
TaWeka uses Taverna workflows to store data retrieved from webservices, e.g. queries of biological data, into a database. Weka is then used to run machine learning experiments on the data in order to evaluate and improve biological classification functions.
Publications
A poster TaWeka: from biological web services to data mining by De Ferrara and Goryanin describes the purpose and implementation of TaWeka.
