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Precursor miRNAs (pre-miRNAs) are usually extracted to obtain quite a lot of global and intrinsic folding features that include some redundant and useless features. Therefore,it is essential to select the most representative feature subset,which contributes to improve the classification efficiency.We propose a novel feature selection method based on genetic algorithm.The information gain of feature...
Influenza viruses continue to evolve rapidly and are responsible for seasonal epidemics and occasional, but catastrophic, pandemics. We recently demonstrated the use of decision tree and support vector machine methods in classifying pandemic swine flu viral strains with high accuracy. Here, we applied the technique of artificial neural networks for the prediction of important influenza virus antigenic...
Side effect machines operate by associating side effects with the states of a finite state machine. The use of side effect machines permits the researcher to leverage information stored in the state transition structure, making machines that might be identical as recognizers behave differently as classifiers. The side effect machines in this study associate a counter with each state so that the number...
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