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Differential Co-Expression Networks (DCENs) are graphical representations of genes showing differential co-expression pattern in response to experimental conditions or genetic changes. They have been successfully applied to identify condition-specific modules and provide a picture of the dynamic changes in gene regulatory networks. DCENs analysis investigates the differences among gene interconnections...
Event message processing is important in DVE because collaboration among distributed participants is exploited only by sharing event messages over the network. Existing DVE systems process event messages in FCFS algorithm based on the occurrence time of event, and do not reflect the priority of event. It implies how serious an event is to the receivers, and is dependent on the type of event, and the...
Recent advances in DNA sequencing technology have enabled Next Generation Sequencing (NGS) instruments to accelerate generating billions of DNA reads in a few days. However, the management of enormous NGS data and the concurrent analysis of these vast amount of data requires a great deal of computing power and memory as well as huge disk storage. Current popular job scheduling systems provide efficient...
Mathematical modeling is a vital tool for studying biological systems. Due to the system complexity and technical challenges in molecular level measurement, it is commonly the case that a large number of model parameters have uncertain values. Analyzing model dynamics from a single estimated parameter set is insufficient and liable for misleading results. Global sensitivity analysis (GSA) has been...
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