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Titlebook: Neural Information Processing; 18th International C Bao-Liang Lu,Liqing Zhang,James Kwok Conference proceedings 2011 Springer-Verlag GmbH B

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Discrimination of Protein Thermostability Based on a New Integrated Neural Networkostability in the level of amino acid sequence is still a challenge in the research of the protein pattern recognition. In this paper, we try to use new integrated feedforward artificial neural network which was optimized by particle swarm optimization (PSO-NN) to recognize the mesophilic and thermo
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Complex Detection Based on Integrated Propertiesrable importance for protein complex detection. Based on this observation, we propose a novel algorithm called CDIP (Complex Detection based on Integrated Properties) to discover protein complexes from the yeast PPI network. In our method, a simple feature representation from protein primary sequenc
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ECG Classification Using ICA Features and Support Vector Machinesation. We propose a statistical method to segment heartbeats from ECG signal as precisely as possible, and use the combination of independent component analysis (ICA) features and temporal feature to describe multi-lead ECG signals. To obtain the most discriminant features of different class, we int
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Feature Reduction Using a Topic Model for the Prediction of Type III Secreted Effectorsechanism has not been fully understood yet. Recently, a lot of emphasis has been put on identifying type III secreted effectors (T3SE) in order to uncover the signal and principle that guide the secretion process. However, the amino acid sequences of T3SEs have great sequence diversity through fast
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