Titlebook: Contemporary Biostatistics with Biopharmaceutical Applications; Lanju Zhang,Ding-Geng (Din) Chen,Hui Quan Book 2019 The Editor(s) (if appl

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Variable Selection for High Dimensional Metagenomic Dataease status. Due to various sequencing depth, the number of reads assigned to a species or an operational taxonomic unit (OTU) is not directly comparable across different samples. Usually rarefying or normalization of the metagenomic count data has to be done before performing the downstream analysi

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Dimension Reduction in High Dimensional Multivariate Time Series Analysisse of their capability to represent the dynamic relationships among variables in a system and their usefulness in forecasting unknown future values. However, when the dimension is very high, the number of parameters often exceed the number of available observations, and it is impossible to estimate

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Inference of Gene Regulatory Network Through Adaptive Dynamic Bayesian Network Modelingular processes that make a complex living system. Dynamic Bayesian network (DBN) modeling has been increasingly used to reconstruct GRN for the temporal pattern of transcriptional interactions in a time course, but this approach requires expression data measured at even time intervals. In practice,

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Maximin Designs for Ultra-Fast Functional Brain Imagingortant experimental design issue for such an experiment is the selection of a sequence of mental stimuli that allows us to collect informative data for making precise and valid statistical inferences. However, obtaining a good stimulus sequence can be challenging, especially when brain mapping techn

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