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Titlebook: Bioinformatics Research and Applications; 14th International S Fa Zhang,Zhipeng Cai,Shihua Zhang Conference proceedings 2018 Springer Natur

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GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Hetecomputational methods are biased towards known drugs-disease associations already verified by biological experiments. It is difficult to achieve excellent performance with sparse known drug-disease associations. In this article, we present a graph regularized transductive regression method (GRTR) to
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An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Fepportunities to understand the mechanism of complex diseases. In this study, an improved particle swarm optimization with dynamic scale-free network, named DSFPSO, is proposed for detecting multi-omics features. The highlights of DSFPSO are the introduced scale-free network and velocity updating str
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Bounds on Identification of Genome Evolution Pacemakersr than by a simple rate constancy as manifested by the classical hypothesis of Molecular Clock (MC). Under UPM, the relative evolutionary rates of all genes remain nearly constant whereas the absolute rates can change arbitrarily according to the pacemaker ticks. This evolutionary framework was rece
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The Review of the Major Entropy Methods and Applications in Biomedical Signal Researche subjected to the impact of the noise and interference. Entropy as a measure of disorder or uncertainty in the data has been applied in signal processing research areas. This review is to introduce the application of entropy in the analysis of biomedical signals and discuss the advantages and short
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