Protein secondary structure prediction: efficient neural network and feature extraction approaches

A simple and efficient approach to the protein secondary structure prediction problem is presented and evaluated with four established measures: Q3, Matthews coefficients, Qobserved and Qpredicted. They are applied to the raw data and also features extracted with the PCA and the ICA methods. The res...

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Veröffentlicht in:	Electronics letters 2004-10, Vol.40 (21), p.1-1
Hauptverfasser:	de Melo, J C B, Cavalcanti, G D C, Guimarães, K S
Format:	Artikel
Sprache:	eng
Schlagworte:	Feature extraction Neural networks Proteins Raw
Online-Zugang:	Volltext
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