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mGOASVM | Multi-label protein subcellular localization based on gene ontology and support vector machines

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Multi-Label Protein Subcellular Localization Prediction. The mGOASVM predictor has the following advantages: (1) it uses the frequency of occurrences of GO terms for feature representation; (2) it selects the relevant GO subspace which can substantially speed up the prediction without compromising performance; and (3) it adopts an efficient multi-label SVM classifier which significantly outperforms other predictors.

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mGOASVM classification

mGOASVM specifications

Unique identifier:
OMICS_01627
Restrictions to use:
None
Stability:
Stable
Interface:
Web user interface
Computer skills:
Basic
Maintained:
Yes

Credits

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Publications

Institution(s)

Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China

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