Detecting T cell activation using a varying dimension Bayesian model

B and T Lymphocyte Attenuator is a Target of miR-155 during Naive CD4+ T Cell Activation

Background: MicroRNA-155 (miR-155) is upregulated during T cell activation, but the exact mechanisms by which it influences CD4+ T cell activation remain unclear. Objective: To examine whether the B and T lymphocyte attenuator (BTLA) is a target of miR-155 during naïve CD4+ T cell activation. Methods: Firefly luciferase reporter plasmids pEZX-MT01-wild-type-BTLA and pEZX-MT01-mutant-BTLA were ...

Predicting waste generation using Bayesian model averaging

A prognosis model has been developed for solid waste generation from households in Hoi An City, a famous tourist city in Viet Nam. Waste sampling, followed by a questionnaire survey, was carried out to gather data. The Bayesian model average method was used to identify factors significantly associated with waste generation. Multivariate linear regression analysis was then applied to evaluate th...

Detecting Related Genes Using Bayesian Model-Based Clustering

With microarray technology becoming one of the most popular tools in genetic research, the demand for clustering methods has increased. In this paper, we propose a method to detect a small number of related genes based on longitudinally observed gene expressions. For many reasons, conventional techniques such as k-means or hierarchical clustering, cannot provide satisfactory results. First, the...

Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection

DNA microarrays open up a broad new horizon for investigators interested in studying the genetic determinants of disease. The high throughputnature of these arrays, where differential expression for thousands of genes can bemeasured simultaneously, creates an enormous wealth of information, but also poses a challenge for data analysis because of the large multiple testing problem involved. The ...

Detecting a Local Cohort Effect for Cancer Mortality Data Using a Varying Coefficient Model