Subcellular localization using fluorescence imagery: Utilizing ensemble classification with diverse feature extraction strategies and data balancing

- 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.