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DNA sequences of several bacteria were classified using artificial neural network model. The ??dinucleotides compositions?? method was used to characterize the DNA sequences which transform every DNA sequence to a 16-dimension vector. Back-propagation artificial neural network was developed and trained using ??leave-one-out?? method. Results showed that the accuracy of classification was 84.3%, which...
Data are central to pharmacogenomics research and practices. However, due to the heterogeneous problems in data formats, structures and semantics, it is hard to integrate the diversified data that grow explosively and analyze them comprehensively. As more and more public databases are accessible through standard protocols like programmable interfaces and Web portals, Web-based data integration becomes...
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