Short-Range interactions and decision tree-based protein contact map predictor
EvoBIO'12 Proceedings of the 10th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
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Contact map is the simplified, 2D representation of protein spatial structure. Contact map prediction is an intermediate step to predict protein 3D structure. Ensemble learning-based model is a collection of learners that is more accurate than a single learner. In this paper we propose an ensemble learning method for contact map prediction. Results show that a considerable performance improvement is attainable using this approach instead of using a single model.