## Abstract Support Vector Machine (SVM), which is one class of learning machines, was applied to predict the subcellular location of proteins by incorporating the quasiβsequenceβorder effect (Chou [2000] Biochem. Biophys. Res. Commun. 278:477β483). In this study, the proteins are classified into t
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine
β Scribed by Jong Kyoung Kim; G.P.S. Raghava; Sung-Yang Bang; Seungjin Choi
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 116 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0167-8655
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