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Interactive Animated visualizations of Breast, Ovarian Cancer and Other Health Indicator data using Weave, an Interactive Web-based analysis and visualization Environment

Interactive Animated Visualizations of Breast, Ovarian Cance...

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15th International conference on Information Visualisation (IV)

作者： Purushe, Shweta Grinstein, Georges Smrtic, Mary Beth Lyons, Helen Univ Massachusetts Dept Comp Sci Inst Visualizat & Percept Res Lowell MA 01854 USA

ISBN: (纸本)9780769544762

Recent research in genomics and biomedical studies has shown a relationship between heredity, mutations in certain genes and the corresponding probabilities of developing certain cancers. In this study we looked at breast and ovarian cancer distributions across all states and counties in the United States over time. We describe briefly Weave, our Web-based analysis and visualization Environment and use it to explore these cancers and present interactive animated visualizations of family hereditary patterns and genetic distributions, not only for these cancers, but also for other life-threatening cancers and related health indicators. We also show how Weave can be used to integrate other diverse epidemiological data, in particular obesity, and explore its relationship with cancer data.

关键词： visualization

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Exploratory visualization for Weather data Verification

Exploratory Visualization for Weather Data Verification

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15th International conference on Information Visualisation (IV)

作者： Lundblad, Patrik Lofving, Hanna Elovsson, Annika Johansson, Jimmy Swedish Meteorol & Hydrol Inst Norrkoping Sweden Linkoping Univ C Res Linkoping Sweden

ISBN: (纸本)9780769544762

Today weather forecasts assist in the preparation of roads during the winter season to avoid accidents resulting from snow, rain and slipperiness. As with any weather forecast there is always a search for improvement. One way to do this is by verifying the forecasted parameters with the actual weather observed in the forecasted area. To facilitate identification of significant trends and patterns within weather data we have developed an application based on interactive information visualization techniques. The application was created in close collaboration with domain experts from the Swedish Meteorological and Hydrological Institute and initial feedback from a performed user study shows that interactive visualization speeds up the analysis process as well as increases flexibility compared to currently used manual methods.

关键词： Information visualization verification of weather data exploratory analysis

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visualization of Dynamic Adaptive Resolution Scientific data

Visualization of Dynamic Adaptive Resolution Scientific Data

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conference on visualization and data analysis 2011

作者： Foulks, Andrew Bergeron, R. Daniel Vohr, Samuel H. Univ New Hampshire Dept Comp Sci Durham NH 03824 USA

ISBN: (纸本)9780819484055

Interactive visualization of very large data sets remains a challenging problem to the visualization community. One promising solution involves using adaptive resolution representations of the data. In this model, important regions of data are identified using reconstructive error analysis and are shown in higher detail. During the visualization, regions with higher error are rendered with high resolution data, while areas of low error are rendered at a lower resolution. We have developed a new dynamic adaptive resolution rendering algorithm along with software support libraries. These libraries are designed to extend the VisIt visualization environment by adding support for adaptive resolution data. VisIt supports domain decomposition of data, which we use to define our AR representation. We show that with this model, we achieve performance gains while maintaining error tolerances specified by the scientist.

关键词： Adaptive Resolution data visualization of Error I/O Bottleneck

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Browsing large-scale cheminformatics data with dimension reduction

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2011年第17期23卷 2315-2325页

作者： Choi, Jong Youl Bae, Seung-Hee Qiu, Judy Chen, Bin Wild, David Indiana Univ Sch Informat & Comp Pervas Technol Inst Bloomington IN 47408 USA

visualization of large-scale high dimensional data is highly valuable for data analysis facilitating scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for cheminformatics research. It provides a novel 3D data point browser that displays complex properties of massive data on commodity clients. As in Geographic Information System browsers for Earth and Environment data, chemical compounds with similar properties are nearby in the browser. PubChemBrowse is built around in-house high performance parallel Multi-dimensional scaling and Generative topographic mapping services and supports fast interaction with an external property database. These properties can be overlaid on 3D mapped compound space or queried for individual points. We prototype the integration with Chem2Bio2RDF system using SPARQL endpoint to access over 20 publicly accessible bioinformatics databases. We describe our design and implementation of the integrated PubChemBrowse application and outline its use in drug discovery. The same core technologies are generally applicable to develop high performance scientific data browsing systems for other applications. Copyright (C) 2011 John Wiley & Sons, Ltd.

关键词： visualization MDS GTM interpolation semantic web

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A Meta-Notation for data visualization

A Meta-Notation for Data Visualization

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conference on visualization and data analysis 2011

作者： Lee, Sang Yun Neumann, Ulrich Univ So Calif Dept Comp Sci Los Angeles CA USA

ISBN: (纸本)9780819484055

We describe a meta-notation devised to express the major structural characteristics in widely-used data visualizations. The meta-notation consists of unary and binary operators that can be combined to represent a visualization. Capturing structural features of a visualization, our meta-notation can be applied to match or compare two visualizations at a conceptual level. For example, a user's request for a visualization can be compared with visualization tools' presentation capabilities. The design of the operators is discussed as we present their underlying concepts and show examples of their use. To illustrate how expressive the meta-notation is, we explore some commonly-used data visualizations. A benefit of our approach is that the operators define a set of required capabilities on which a visualization system can be organized. Thus, the meta-notation can be used to design a system that interconnects various data visualization tools by sending and receiving visualization requests between them.

关键词： data visualization Information visualization visualization Structure Visual Scaffold Visual Decoration visualization Notation

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Enhancing Online Timeline visualizations with Events and Images

Enhancing Online Timeline Visualizations with Events and Ima...

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conference on visualization and data analysis 2011

作者： Pandya, Abhishek Mulye, Aniket Teoh, Soon Tee San Jose State Univ Dept Comp Sci San Jose CA 95192 USA

ISBN: (纸本)9780819484055

The use of timeline to visualize time-series data is one of the most intuitive and commonly used methods, and is used for widely-used applications such as stock market data visualization, and tracking of poll data of election candidates over time. While useful, these timeline visualizations are lacking in contextual information of events which are related or cause changes in the data. We have developed a system that enhances timeline visualization with display of relevant news events and their corresponding images, so that users can not only see the changes in the data, but also understand the reasons behind the changes. We have also conducted a user study to test the effectiveness of our ideas.

关键词： computer-human interface time-series data information visualization user studies online data visualization

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visualization tools for presenting and analysis of global landscapes of vaccine targets

Visualization tools for presenting and analysis of global la...

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IEEE International conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： Kalathur, Suresh Zhang, Guang Lan Zlateva, Tanya Brusic, Vladimir Chitkushev, Lou Boston Univ Dept Comp Sci Metropolitan Coll 111 Cummington St Boston MA 02215 USA Dana Farber Canc Inst Canc Vaccine Ctr Boston MA 02115 USA

ISBN: (纸本)9781457716133

Immunology produces large amounts of complex and hierarchical data. The overwhelming quantities and complexity of these data present a challenge for immunologists trying to interpret results, extract useful information, and derive new knowledge. visualization plays an increasingly important role in the process of analyzing and understanding immunological data. We employed two visualization modules - heat map and stack graph, to be embedded in MULTIPRED2, a computational system for antigenic analysis and support of large-scale vaccine studies. We have described two complementary modules that display complex information on antigenic targets from proteins. The heat map enables visualization of large number of HLA variants, their groupings within the supertypes, and identification of antigenic regions within a query protein sequence. The stack graph is an interactive tool that presents predicted immunogenicity of a query protein across multiple HLA supertypes at human population level. The stack graph enables zooming in and out facilitating visualization at desired level of detail. Both visualization tools present a large amount of information in a single graphical display. The goal of visualization tools is to help immunologists and vaccine researchers to gain rapid insight into the data using comprehensive but clear graphic representation and summarization.

关键词： data visualization Educational institutions HLA supertypes Heating Immune system MULTIPRED2 Peptides Proteins Vaccines antigenic analysis data analysis data visualisation drugs global landscape analysis graphic representation graphic summarization heat ma

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The Application of Ontology Information System Based on Rough Formal Concept analysis

The Application of Ontology Information System Based on Roug...

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2011 International conference on Photonics, 3D-Imaging, and visualization

作者： Yi Wang Department of Information Technology Guangdong Textile Polytechnic

ISBN: (纸本)9780819488473

The role of this ontology is to provide a shared vocabulary and semantics between domain knowledge and vision. Ontology presents semantics for interpreting data instances. Formal concept lattices and rough set theory are two kinds of complementary mathematical tools for data analysis and data processing. The paper proposes the method of constructiong ontology nodes information system based on rough formal concept analysis in order to constructing the ontology model of knowledge management. Experimental studies are done with rough set and FCA in constructing the numbers of ontology nodes. The experimental results indicate that this method has great promise and is showing that ROUGH SET is superior to FCA in building the numbers of ontology nodes.

关键词： Rough set formal concept analysis domain ontology

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Visualizing the Effects of Logically Combined Filters

Visualizing the Effects of Logically Combined Filters

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15th International conference on Information Visualisation (IV)

作者： Geymayer, Thomas Lex, Alexander Streit, Marc Schmalstieg, Dieter Graz Univ Technol Inst Comp Graph & Vis Graz Austria

ISBN: (纸本)9780769544762

Filtering data is an essential process in a drilldown analysis of large data sets. Filtering can be necessary for several reasons. The main objective for filters is to uncover the relevant subsets of a dataset. Another, equally relevant goal is to reduce a dataset to dimensions to which either visualization or algorithmic analysis techniques scale. However, with multiple filters applied and possibly even logically combined, it becomes difficult for users to judge the effects of a filter chain. In this paper we present a simple, yet effective way to interactively visualize a sequence of filters and logical combinations of these. Such a visualized filter-pipeline allows analysts to easily judge the effect of every single filter and also their combination on the data set under investigation and therefore, leads to a faster and more efficient workflow. We also present an implementation of the proposed technique in an information visualization framework for the life sciences. The technique, however, could be employed in many other information visualization contexts as well.

关键词： filter-pipeline brushing logical operations interactive data analysis compound filter

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A Tri-Linear visualization for Network Anomaly Detection

A Tri-Linear Visualization for Network Anomaly Detection

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conference on visualization and data analysis 2011

作者： Whitaker, Robert B. Erbacher, Robert F. Utah State Univ Dept Comp Sci UMC 4205 Logan UT 84322 USA Northwest Secur Inst Redmond WA 98052 USA

ISBN: (纸本)9780819484055

This research discusses a novel application of ternary plots to the visualization of network traffic data. These plots prove to be enormously effective at identifying anomalous network activity and can be valuable in monitoring network activity much more efficiently than can be done with existing techniques. The visualization was implemented in our existing visualization infrastructure to reduce development time. Testing was performed on actual network traffic data collected from a local network. Multiple anomalies were easily identifiable within the data set without any prior knowledge as to the contents of the test file. This paper discusses the ternary plot and its application to network traffic data, the formulas needed to calculate and display ternary coordinates, and the basic architecture for the visualization implementation.

关键词： Security visualization anomaly detection ternary plot

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