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Gaussian Logic for Predictive Classification
We describe a statistical relational learning framework called Gaussian Logic capable to work efficiently with combinations of relational and numerical data. The framework assumes that, for a fixed relational structure, ...
Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search
We contribute a novel, ball-histogram approach to DNA-binding propensity prediction of proteins. Unlike state-ofthe- art methods based on constructing an ad-hoc set of features describing physicochemical properties of ...
Prediction of DNA-binding proteins from relational features
Background: The process of protein-DNA binding has an essential role in the biological processing of genetic information. We use relational machine learning to predict DNA-binding propensity of proteins from their ...