Hot spot is dominant for understanding the mechanism of protein-protein interactions and can be applied as a target to drug design. Since experimental methods are costly and time-consuming, computational methods are p...
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ISBN:
(纸本)9783319422916;9783319422909
Hot spot is dominant for understanding the mechanism of protein-protein interactions and can be applied as a target to drug design. Since experimental methods are costly and time-consuming, computational methods are prevalently applied as an useful tool in hot spot prediction through sequence or structure information. Here, we propose a new sequence-based model that combines physicochemical features with relative accessible surface area of amino acid sequence. The model consists of 83 classifiers involving ibk algorithm, where instances for one classifier are encoded by corresponding property extracted from 544 properties in AAindex1 database. Then several top performance classifiers with respect to F1 score are selected to be an ensemble by majority voting technique. The model outperforms other state-of-the-art computational methods, yields a F1 score of 0.80 on BID test set.
In the past few years, tremendous studies have been made to examine the accuracy of time series forecasting that provide the foundation for decision models in foreign exchange data. This study proposes a novel approac...
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ISBN:
(纸本)9781450333771
In the past few years, tremendous studies have been made to examine the accuracy of time series forecasting that provide the foundation for decision models in foreign exchange data. This study proposes a novel approach of Hidden Markov Model and Case Based reasoning for time series forecasting. This paper compares the proposed method with the single HMM and HMM ensemble with neural network. HMM is trained by using forward-backward or Baum-Welch algorithm and the likelihood value is used to predict future exchange rate price. The forecasting accuracy has been measured according to Root Mean Square Error (RMSE). The statistical performance of all techniques is investigated in testing of EUR/USD exchange rate time series over the period of October 2010 to March 2014. The preliminary results indicate that the new approach of HMM produce the lowest RMSE compared to the benchmark models. Further study is to adopt HMM-CBR in testing of GBP/USD, GBP/JPY, USD/JPY, and EUR/JPY exchange rate.
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