An increasing number of studies have profiled gene expressions in tumor specimens using distinct microarray platforms and analysis techniques. With the accumulating amount of microarray data, one of the most challenging tasks is to develop robust statistical models to integrate the findings. This article reviews some recent studies on the field. We also study the intensity similarities between ...

State-of-the-art statistical parsing models applied to free word-order languages tend to underperform compared to, e.g., parsing English. Constituency-based models often fail to capture generalizations that cannot be stated in structural terms, and dependency-based models employ a ‘single-head’ assumption that often breaks in the face of multiple exponence. In this paper we suggest that the pos...

We greatly appreciate the opportunity to read and discuss the paper “Visualizing statistical models: removing the blindfold” [42]. The article manages to close the gap between statistics and visualization by combining advanced methods from both fields to visualize statistical models and methods. The article provides a very nice overview of visualization tools for statistical models, which can b...

This paper describes a statistical shape model of the brain extending through the whole organ. The variability in a normal population is described by global deformation modes. The model is based on the analysis of homologous deformations mapping similar structures in brain images.

We consider the problem of measurements made by several laboratories (or methods) on virtually the same object of interest. In general, the number of measurements made at each laboratory may differ. Moreover, the laboratories may exhibit the between-laboratory variability caused by the systematic error due to each laboratory, as well as different within-laboratory variances caused by different ...

We estimated reader-dependent variability of region of interest (ROI) analysis and evaluated its impact on preclinical quantitative molecular imaging. To estimate reader variability, we used five independent image datasets acquired each using microPET and multispectral fluorescence imaging (MSFI). We also selected ten experienced researchers who utilize molecular imaging in the same environment...

The polycrystalline nature of the metal gate and the corresponding non-uniformity in the gate workfunction results in statistical variability in MOSFETs with high-!/metal gate stacks. Here the impact of the workfunction variation (WFV) associated with different gate grain orientations on the threshold voltage variation in a test bed 35 nm nMOSFETs is studied in details using full scale 3D numer...