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- W2046883485 abstract "The protein structural class plays an important role in protein science. In this paper, a new method for predicting protein structural class based Flexible Neural Tree Ensemble (FNTE) is introduced. The structure of Flexible Neural Tree (FNT) is developed by Probabilistic Incremental Program Evolution (PIPE) and the parameters are optimized by Particle Swarm Optimization (PSO) algorithm. The one thousand six hundred and seventy three protein sequence (25PDB) is used as the dataset. The experiment data is validated by tenfold cross validation. The experiment result shows our method can improve the predictive accuracy rate." @default.
- W2046883485 created "2016-06-24" @default.
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- W2046883485 date "2010-08-01" @default.
- W2046883485 modified "2023-09-26" @default.
- W2046883485 title "Predicting protein structural class with Ensemble of Flexible Neural Tree" @default.
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- W2046883485 doi "https://doi.org/10.1109/icnc.2010.5583139" @default.
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