Prediction of subcellular location of mycobacterial protein using feature selection techniques
β Scribed by Hao Lin; Hui Ding; Feng-Biao Guo; Jian Huang
- Publisher
- Springer
- Year
- 2009
- Tongue
- English
- Weight
- 140 KB
- Volume
- 14
- Category
- Article
- ISSN
- 1381-1991
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π SIMILAR VOLUMES
Prediction of the cellular location of a protein plays an important role in inferring the function of the protein. Feature extraction is a critical part in prediction systems, requiring raw sequence data to be transformed into appropriate numerical feature vectors while minimizing information loss.
## 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