Article ID Journal Published Year Pages File Type
495712 Applied Soft Computing 2013 13 Pages PDF
Abstract

- Random Forest and Rotation Forest classifiers are used for subcellular localization.
- Various feature extraction strategies are utilized.
- SMOTE is employed as a data balancing technique.
- SMOTE has improved prediction performance in classifying protein images.
- A web server is available online at http://111.68.99.218/RF-SubLoc.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Preview
Subcellular localization using fluorescence imagery: Utilizing ensemble classification with diverse feature extraction strategies and data balancing
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