The visualization of cluster solutions in gene expression data analysis gives practitioners an understanding of the cluster structure of their data and makes it easier to interpret the cluster results. Neighborhood graphs allow for visual assessment of relationships between adjacent clusters. The number of clusters in gene expression data is for biological reasons rather large. As a linear proj...

Traditionally, the subject of cartography has been geographic data, while information visualization has dealt with abstract, non-spatial information. With the ever increasing amount of data harvested worldwide, more and more of this data includes both geographic and abstract information at the same time. Efficient visualization of this data calls for the combination of maps with techniques for ...

IVPrototype is an Information Visualization Prototype for the visualization of both geometrical and non-geometrical data. Our goal is to provide a generic system that automatically generates data visualization and dynamically adapts the interface according to the data in order to control the amount of information displayed. The information is organized in one or several information groups, whic...

Effective visualization resizing is important for many visualization tasks, where users may have display devices with different sizes and aspect ratios. Our recently designed framework can adapt a visualization to different displays by transforming the resizing problem into a non-linear optimization problem. However, it is not scalable to a large amount of dense information. Undesired cluttered...

We introduce a framework for interactive visualization of global flow features in large unsteady 3D flow fields. It is based on selective visualization using dense precomputed integral lines (streamlines, path lines) linked together with all other data attributes. This way we are able to provide an uniform and interactive environment for custom feature specification and visualization of non-loc...

In this work, we present a novel approach for data visualization based on interactive dimensionality reduction (iDR). The main idea of the paper relies on considering for visualization the intermediate results of non-convex DR algorithms under changes on the metric of the input data space driven by the user. With an appropriate visualization interface, our approach allows the user to focus on t...

UNLABELLED Understanding the relationships between pathways and the altered expression of their components in disease conditions can be addressed in a visual data analysis process. Caleydo uses novel visualization techniques to support life science experts in their analysis of gene expression data in the context of pathways and functions of individual genes. Pathways and gene expression visuali...

With recent technological advances, non-uniform representations are becoming a crucial factor in acquisition and simulation devices and as such the development of better and more reliable reconstruction and visualization schemes is a necessity. In this paper we present a novel framework for the visualization and reconstruction from non-uniform point sets. We adopt a variational method for the r...

Demonstration of arrested intracerebral blood flow is the ultimate evidence of brain death. Computerized radionuclide cerebral flow study was done on 18 patients diagnosed clinically as brain dead. Correlation was made with clinical neurophysiological and EEG findings. The criteria for diagnosis of arrested intracerebral perfusion using radionuclide flow study were: non-visualization of blood f...