Application of SVM to predict membrane protein types

As a continuous effort to develop automated methods for predicting membrane protein types that was initiated by Chou and Elrod (PROTEINS: Structure, Function, and Genetics, 1999, 34, 137–153), the support vector machine (SVM) is introduced. Results obtained through re-substitution, jackknife, and in...

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Veröffentlicht in:	Journal of theoretical biology 2004-02, Vol.226 (4), p.373-376
Hauptverfasser:	Cai, Yu-Dong, Ricardo, Pong-Wong, Jen, Chih-Hung, Chou, Kuo-Chen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Amino Acids - analysis Chou's invariance theorem GPI-anchored membrane proteins Lipid chain-anchored membrane proteins Membrane Proteins - chemistry Membrane Proteins - classification Multipass transmembrane proteins Type I membrane protein Type II membrane protein
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