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BIC is used to select the order of polynomial regression between 1 and 30. The estimated σ from the selected model is used to calculate the PI. Representative scatterplots at n = 200 with σ1 = 3, σ2 = 7 can be found in Figure 1. Note that the function estimate based on the selected model by BIC is visually more different from that based on the smaller model with one fewer term for the parametri...
Many computational methods have been widely used to identify transcription regulatory interactions based on gene expression profiles. The selection of dependency measure is very important for successful regulatory network inference. In this paper, we develop a new method-DBoMM (Difference in BIC of Mixture Models)-for estimating dependency of gene by fitting the gene expression profiles into mi...
Recall that we mentioned two possible routes to get around the Gibbard–Satterthwaite Impossibility Theorem. The first was to focus on restricted environments like the quasilinear environment, and the second one was to weaken the implementation concept and look for an SCF which is ex-post efficient, nondictatorial, and Bayesian incentive compatible. In this section, our objective is to explore t...
We develop an approach to tuning of penalized regression variable selection methods by calculating the sparsest estimator contained in a confidence region of a specified level. Because confidence intervals/regions are generally understood, tuning penalized regression methods in this way is intuitive and more easily understood by scientists and practitioners. More importantly, our work shows tha...
This paper presents a new stochastic tool, called convex ordering, that provides an ordering of any convex function of transmission rates of two protocols and valuable insights into high order behaviors of protocols. As the ordering determined by this tool is consistent with any convex function of rates, it can be applied to any unknown metric for protocol performance that consists of some high...
Previous studies have demonstrated the utility of microarray expression analysis to identify potential microRNA targets. Nevertheless, technical limitations intrinsic to this platform constrain its ability to fully exploit the potential of assessing transcript level changes to explore microRNA targetomes. High-throughput multiplexed Illumina-based next-generation sequencing (NGS) provides a dig...
Abstract Background Capillary leakage is a key contributor to the pathological host response infections. The underlying mechanisms remain incompletely understood, and role of microRNAs (MIR) has not been investigated in detail. We hypothesized that specific MIRs might be regulated directly endothelium thereby contributing vascular leakage. Methods SmallRNA sequencing endotoxemic murine pulmonar...
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