Dimensional reduction in the protein secondary structure prediction: non-linear method improvements
by Gisele M. Simas, Silvia S.C. Botelho, Rafael G. Colares, Renan R. Almeida
International Journal of Computational Intelligence in Bioinformatics and Systems Biology (IJCIBSB), Vol. 1, No. 4, 2010

Abstract: This paper investigates the use of a dimensional reduction method, called cascaded non-linear components analysis (C-NLPCA), in the protein secondary structure prediction problem. C-NLPCA treats dimensional reductions considering the non-linearity of the data. In order to prove the effectiveness of the C-NLPCA, a set of tests are presented, comparing our approach with other existing predictors. The C-NLPCA is revealed to be efficient, propelling a new field of research.

Online publication date: Sun, 23-Jan-2011

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