Complementary DNA clones encoding the murine homolog (mCAR) of the human coxsackievirus and adenovirus receptor (CAR) were isolated. Nonpermissive CHO cells transfected with mCAR cDNA became susceptible to infection by coxsackieviruses B3 and B4 and showed increased susceptibility to adenovirus-mediated gene transfer. These results indicate that the same receptor is responsible for virus intera...

Rapid developments in geographical information systems (GIS) continue to generate interest in analyzing complex spatial datasets. One area of activity is in creating smoothed disease maps to describe the geographic variation of disease and generate hypotheses for apparent differences in risk. With multiple diseases, a multivariate conditionally autoregressive (MCAR) model is often used to smoot...

Association rule discovery is one of the primary tasks in data mining that extracts patterns to describe correlations between items in a transactional database. Using association rule mining for constructing classification systems is a promising approach. There are many associative classification approaches that have been proposed recently such as CBA, CMAR and MCAR. In this research paper, fou...

One popular method for analysing correlated binary data is Generalised Estimating Equations (GEE). It is well-known that the validity of this method in its simplest form when the data are incomplete relies on the often implausible assumption of Missing Completely at Random (MCAR). However, there are conditions under which the MCAR assumption can be relaxed to Missing at Random (MAR). Variants o...

We introduce a new method based on Bayesian Network formalism for automatically generating incomplete datasets. This method can either be configured randomly to generate various datasets with respect to a global percentage of missing data or manually in order to handle many parameters. [1] proposed three types of missing data : MCAR (missing completly at random), MAR (missing at random) and NMA...

Abstract Diabetes prevalence is on the rise in United Kingdom, and for public health strategy, estimation of relative disease risk subsequent mapping important. We consider an application to London data diabetes mortality. In order improve risks, we analyse jointly mortality ensure borrowing strength over two outcomes. The available involve spatial frameworks, areas (Middle Layer Super Output A...

PURPOSE Chimeric antigen receptor (CAR) transduced T cells represent a promising immune therapy that has been shown to successfully treat cancers in mice and humans. However, CARs targeting antigens expressed in both tumors and normal tissues have led to significant toxicity. Preclinical studies have been limited by the use of xenograft models that do not adequately recapitulate the immune syst...

A common task in the analysis of multi-environmental trials (MET) by linear mixed models (LMM) is estimation variance components (VCs). Most often, MET data are imbalanced (e.g., due to selection). The imbalance mechanism can be missing completely at random (MCAR), (MAR), or not random. If missing-data pattern was caused selection, it usually MAR. In this case, likelihood-based methods preferre...

The CYP2C subfamily metabolizes many clinically important drugs. These genes respond to prototypical inducers such as phenobarbital and rifampicin, yet little has been reported on the mechanisms of induction. This report examines the regulation of CYP2C9 with respect to two specific receptors thought to be involved in phenobarbital (PB) induction, the constitutive androstane receptor (CAR) and ...