Objective To compare the efficiency of four methods,namely significance analysis of function and expression(SAFE),Eforns Gene Set Analysis(Eforns GSA),Globa
Background:Due to characteristic of massive amounts,complexity,noise and high dimension for gene expression data,especially the abundant missing value,which had
Large-scale molecular profiling data generated by high-throughput technologies have offered extraordinary opportunities to improve prognosis and prediction of c
The public health data is often collected from multi-sources and in the form of continues inputting data,e.g.incidence of infectious diseases from data repo
In this talk,we consider Bayesian nonparametric regression with the residual errors to change flexibly with predictors.We specify the mean regression function w
Safety analysis plays a critical role in drug development.However,a large number of different types of AEs are routinely collected in clinical trials so that mu
Phosphorescent metal complexes exhibit extensive applications in material science,biological field,display and lighting etc.Luminescent materials are the mo
We consider Bayes factor approaches for the hypothesis testing problem in analysis-ofvariance(ANOVA) designs.We reparameterize the ANOVA model with constraints
Reference analysis produces objective Bayesian inference,that inferential statements depend only on the assumed model and the available data,and the prior distr