Meta-prediction of protein subcellular localization with reduced voting

@inproceedings{Liu2007MetapredictionOP,
  title={Meta-prediction of protein subcellular localization with reduced voting},
  author={Jie Liu and Shuli Kang and Chuanning Tang and L. B. Ellis and Tongbin Li},
  booktitle={Nucleic acids research},
  year={2007}
}
Meta-prediction seeks to harness the combined strengths of multiple predicting programs with the hope of achieving predicting performance surpassing that of all existing predictors in a defined problem domain. We investigated meta-prediction for the four-compartment eukaryotic subcellular localization problem. We compiled an unbiased subcellular localization dataset of 1693 nuclear, cytoplasmic, mitochondrial and extracellular animal proteins from Swiss-Prot 50.2. Using this dataset, we… CONTINUE READING
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