miXGENE.ORG - a public tool for integrated analysis of microarray, microRNA and methylation data

Systems biology focuses on complex interaction within biological systems. These complex interactions, hidden both in high-throughput measurements and a vast amount of existing biological knowledge, are difficult to be mined without an aid of automated tools. MiXGENE is a workflow management tool that develops and analyzes accurate, mainly disease predictive, models from the raw omics data.

Predicting protein properties with spatial statistical machine learning: Proteins are what we are made of and what controls what happens inside of us. Yet, we know too little about the functions of the thousands of specific proteins that have been discovered. We design algorithms that learn to predict “what the protein does” from “what the protein looks like”.

Will it break down once warranty’s over? We ask a similar question in a more complex setting: in the European project SUPREME, we explore how machine learning and data mining techniques can be used to predict failures in an industrial plant