Status: Active

Apart from probabilistic models, we've developed a unified approach to deal with data in terms of predicates with deep knowledge of domain. It allows to deal with epigenetic changes in terms of logical expressions over histone modifications, methylation and transcription data.

We created a hybrid algorithms combining Associated Rules Learning technique and Information Theory for automated building Ishikawa diagram. This allowed to find causation-like associations in epigenetics data.