Abstract
Subcellular localization is an important feature of proteins which is closely correlated to their function. In this work, we tried to develop a new coding method of using those location predictive molecular function terms of protein as the input for the prediction of subcellular localization. Combined with the amino acid pair composition of the sequence, this coding system is proved to be efficient for support vector machine (SVM) and to have satisfied performance when tested on the RH dataset. Meanwhile, the model also shows robustness against N-terminal uncertainties in sequences.
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