EcmPred: prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection.

Abstract

The extracellular matrix (ECM) is a major component of tissues of multicellular organisms. It consists of secreted macromolecules, mainly polysaccharides and glycoproteins. Malfunctions of ECM proteins lead to severe disorders such as marfan syndrome, osteogenesis imperfecta, numerous chondrodysplasias, and skin diseases. In this work, we report a random… (More)
DOI: 10.1016/j.jtbi.2012.10.015

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Cite this paper

@article{Kandaswamy2013EcmPredPO, title={EcmPred: prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection.}, author={Krishna Kumar Kandaswamy and Ganesan Pugalenthi and Kai-Uwe Kalies and Enno Hartmann and Thomas Martinetz}, journal={Journal of theoretical biology}, year={2013}, volume={317}, pages={377-83} }