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Prediction of protein subcellular locations by GO–FunD–PseAA predictor

✍ Scribed by Kuo-Chen Chou; Yu-Dong Cai


Book ID
116288801
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
105 KB
Volume
320
Category
Article
ISSN
0006-291X

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✍ Yu-Dong Cai; Xiao-Jun Liu; Xue-biao Xu; Kuo-Chen Chou 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 124 KB

## Abstract Support Vector Machine (SVM), which is one class of learning machines, was applied to predict the subcellular location of proteins by incorporating the quasi‐sequence‐order effect (Chou [2000] Biochem. Biophys. Res. Commun. 278:477–483). In this study, the proteins are classified into t