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检索条件"任意字段=Conference on Visualization and Data Analysis 2007"

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A study of hippocampal shape difference between genders by efficient hypothesis test and discriminative deformation

A study of hippocampal shape difference between genders by e...

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10th International conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007)

作者： Zhou, Luping Hartley, Richard Lieby, Paulette Barnes, Nick Anstey, Kaarin Cherbuin, Nicolas Sachdev, Perminder Australian Natl Univ RSISE Canberra ACT 0200 Australia

ISBN: (纸本)9783540757566

Hypothesis testing is an important way to detect the statistical difference between two populations. In this paper, we use the Fisher permutation and bootstrap tests to differentiate hippocampal shape between genders. These methods are preferred to traditional hypothesis tests which impose assumptions on the distribution of the samples. An efficient algorithm is adopted to rapidly perform the exact tests. We extend this algorithm to multivariate data by projecting the original data onto an "informative direction" to generate a scalar test statistic. This "informative direction" is found to preserve the original discriminative information. This direction is further used in this paper to isolate the discriminative shape difference between classes from the individual variability, achieving a visualization of shape discrepancy.

关键词： Discriminant analysis

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ANDROMEDA: A MATLAB automated cDNA Microarray data analysis platform

ANDROMEDA: A MATLAB automated cDNA Microarray data analysis ...

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4th IFIP International conference on Artificial Intelligence Applications and Innovations

作者： Chatziioannou, Aristotelis Moulos, Panagiotis Natl Hellen Res Fdn Inst Biol Res & Biotechnol Metab Engn & Bioinformat Grp 48 Vassileos Constantinou Ave Athens 11635 Greece

ISBN: (纸本)9780387741604

DNA microarrays constitute a relatively new biological technology which allows gene expression profiling at a global level by measuring mRNA abundance. However, the grand complexity characterizing a microarray experiment entails the development of computationally powerful tools apt for probing the biological problem studied. ANDROMEDA (Automated aND RObust Microarray Experiment data analysis) is a MATLAB implemented program which performs all steps of typical microarray data analysis including noise filtering processes, background correction, data normalization, statistical selection of differentially expressed genes based on parametric or non parametric statistics and hierarchical cluster analysis resulting in detailed lists of differentially expressed genes and formed clusters through a strictly defined automated workflow. Along with the completely automated procedure, ANDROMEDA offers a variety of visualization options (MA plots, boxplots, clustering images etc). Emphasis is given to the output data format which contains a substantial amount of useful information and can be easily imported in a spreadsheet supporting software or incorporated in a relational database for further processing and data mining.

关键词： MATLAB

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Comparison of multidimensional flow cytometric data by a novel data mining technique

Comparison of multidimensional flow cytometric data by a nov...

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conference on Imaging, Manipulation, and analysis of Biomolecules, Cells, and Tissues V

作者： Leary, James F. Smith, Jacob Szaniszlo, Peter Reece, Lisa M. Purdue Univ Dept Basic Med Sci W Lafayette IN 47907 USA Purdue Univ Weldon Sch Biomed Engn W Lafayette IN 47907 USA Purdue Univ Bindley Biosci Ctr W Lafayette IN 47907 USA Purdue Univ Birck Nanotechnol Ctr W Lafayette IN 47907 USA Texas A&M Univ Dept Comp Sci College Stn TX 77843 USA Univ Texas Med Branch Dept Internal Med Div Infect Dis Galveston TX 77555 USA

ISBN: (纸本)9780819465542

Most flow/image cytometric data analysis methods look for clusters in the data corresponding to specific cell subpopulations. Comparisons between different cytometry datafiles often use human pattern recognition visualization of all the different combinations of variables ("parameters") two at a time in so-called bivariate scattergrams. Not only is this tedious, but it can miss potential clusters due to projection of higher dimensional dataspaces down onto two dimensional planes making them indiscernible as separate clusters. Novel data mining algorithms, implemented in software allow for the comparison of two or more higher dimensional datafiles without the requirement for reduction of dimensionality for human visualization. Of equal importance is the comparison of higher dimensional clusters which may move around slightly in space, yet still be "similar" according to algorithms which provide measures of similarity. This software, written in C/C++ and currently implemented in software with a Windows graphical user interface, allows for direct reading of FCS2.0 format flow cytometry datafiles of any number of parameters. In a few minutes or less, complex multiparameter data of two or more files can be compared on a personal computer or workstation. The software operates in either supervised or unsupervised mode, depending on whether the user wishes to include prior user knowledge or in a data mining discovery mode. Differences between these files can be exported as sub-datafiles which can be further analyzed using any other software that can read FCS2.0 data format.

关键词： data mining flow cytometry subtractive clustering exploratory data analysis cluster analysis

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visualization of rough set decision rules for medical diagnosis systems

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11th International conference on Rough Sets, Fuzzy Sets, data Mining and Granular Computing (RSFDGrC 2007)

作者： Ilczuk, Grzegorz Wakulicz-Deja, Alicja Siemens AG Med Solut Allee am Roethelheimpark 2 D-91052 Erlangen Germany Silesian Univ Inst Informat PL-41200 Sosnowiec Poland

ISBN: (纸本)9783540725299

An ability of Pawlak's Rough Sets Theory to handle imprecision and uncertainty without any need of preliminary or additional information about analyzed data makes this theory very interesting for analyzing medical data. Using Rough Sets Theory knowledge extracted from raw data may be stored in form of decision rules. But increasing number and complexity of decision rules make their analysis and validation by domain experts difficult. In this paper we focus on this problem and propose an approach to visualize decision rules in form of decision trees. Afterwards domain experts validate transformed decision trees and compare the results with general guidelines proposed by the American College of Cardiology Foundation and the American Heart Association.

关键词： Rough set theory

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Managing data and computational complexity for immersive wildfire visualization

Managing data and computational complexity for immersive wil...

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21st European conference on Modelling and Simulation, ECMS 2007

作者： Penick, Michael A. Hoang, Roger V. Harris Jr., Frederick C. Dascalu, Sergiu M. Brown, Timothy J. Sherman, William R. McDonald, Philip A. University of Nevada Reno Department of Computer Science and Engineering Reno NV 89557 United States Desert Research Institute Center for Advanced Computation and Modeling Reno NV 89512 United States

ISBN: (纸本)0955301823

Wildfires are a concern for communities throughout the world. They cause millions of dollars in damage and lead to loss of lives. The development of computational models to predict wildfire behavior is necessary to minimize wildfire damages and casualties. Visualizing the data generated from these computational models has many applications including training, strategic planning, data analysis, and model validation. The complexity of visualizing wildfire brings many challenges, further complicated by large datasets and specialized hardware used to drive immersive systems. This paper present methods for managing the large datasets and computational complexity involved in visualizing large wildfires in immersive environments. © 2007 ECMS.

关键词： Virtual reality

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Parameter system for human physiological data representation and analysis

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3rd Iberian conference on Pattern Recognition and Image analysis

作者： Kurasova, Olga Dzemyda, Gintautas Vainoras, Alfonsas Inst Math & Informat Akademijos St 4 LT-08663 Vilnius Lithuania Kaunas Med Univ Kaunas Lithuania

ISBN: (纸本)9783540728467

In this paper, two systems of physiological parameters that describe the human functional state are analysed. Some physiological features are measured on sportsmen and ischemic heart-diseased men by changing the physical load, and the system of parameters is developed. One parameter system is based on the so-called fractal dimensions, and the other one is based on the parameters of curves that approximate the change of feature values in time. The application of classification and visualization methods and neural networks allowed us to optimise the number of parameters. The results may be generalised to the large number of problems in biomedicine and bioinformatics.

关键词： Physiology

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Improving the value of real-time drilling data to aid collaboration, drilling optimization, and decision making

Improving the value of real-time drilling data to aid collab...

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SPE Annual Technical conference and Exhibition 2007, ATCE 2007

作者： McLaren, G. Hayes, M.J.S. Brown, N.M. Okafor, Z. Megat, I. SPE BP SPE Schlumberger

ISBN: (纸本)9781604239263

Evolution in the manner in which real-time data is provided by service companies in the drilling industry has led to real-time data being available via the Internet from most wells drilled worldwide. The platform for viewing this real-time data is usually through a variety of viewers embedded in Web server software. By using technologies to enable the clear presentation of this Web-based data in real time to the end user-including data visualization, model comparison, and rig time usage-it is possible to improve real-time collaboration and perform drilling optimization actions from both a location remote to the wellsite (e.g., the operator's office or even a service company office) and the wellsite itself. By looking at three case studies in two locations (the North Sea and the Gulf of Mexico), it is possible to show how technologies that enable collaboration between onshore and offshore personnel and manage drilling risks not only improve operations monitoring and reporting but reduce drilling process time. The three case studies demonstrate aid which eliminated an intermediate liner string;improved real-time understanding of well conditions by managing hole cleaning and drilling risks, ensured that a casing string could be successfully landed on bottom;and enabled cause-and-effect analysis of drilling events in real time in addition to post event analysis for improved evaluation of the drilling process. In all these cases, the use of enabling technologies within one integrated application brings advantages to the drilling process through the clear presentation of real-time drilling data, which allows easier interpretation of real-time drilling measurements. Copyright 2007, Society of Petroleum Engineers.

关键词： Well drilling

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Grid-enabled software environment for enhanced dynamic data-driven visualization and navigation during image-guided neurosurgery

Grid-enabled software environment for enhanced dynamic data-...

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7th International conference on Computational Science (ICCS 2007)

作者： Chrisochoides, Nikos Fedorov, Andriy Kot, Andriy Archip, Neculai Goldberg-Zimring, Daniel Kacher, Dan Whalen, Stephen Kikinis, Ron Jolesz, Ferenc Clatz, Olivier Warfield, Simon K. Black, Peter M. Golby, Alexandra Coll William & Mary Williamsburg VA 23187 USA Brigham & Womens Hosp Dept Radiol Boston MA 02115 USA Childrens Hosp Dept Radiol Boston MA 02115 USA Brigham & Womens Hosp Dept Neurosurg Boston MA 02115 USA

ISBN: (纸本)9783540725831

In this paper we present our experience with an Image Guided Neurosurgery Grid-enabled Software Environment (IGNS-GSE) which integrates real-time acquisition of intraoperative Magnetic Resonance Imaging (IMRI) with the preoperative MRI, fMRI, and DT-MRI data. We describe our distributed implementation of a non-rigid image registration method which can be executed over the Grid. Previously, non-rigid registration algorithms which use landmark tracking across the entire brain volume were considered not practical because of the high computational demands. The IGNS-GSE, for the first time ever in clinical practice, alleviated this restriction. We show that we can compute and present enhanced MR images to neurosurgeons during the tumor resection within minutes after IMRI acquisition. For the last 12 months this software system is used routinely (on average once a month) for clinical studies at Brigham and Women's Hospital in Boston, MA. Based on the analysis of the registration results, we also present future directions which will take advantage of the vast resources of the Grid to improve the accuracy of the method in places of the brain where precision is critical for the neurosurgeons.

关键词： grid data-driven visualization

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MatLink: Enhanced matrix visualization for analyzing social networks

MatLink: Enhanced matrix visualization for analyzing social ...

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11th IFIP TC 13 International conference on Human-Computer Interaction, INTERACT 2007

作者： Henry, Nathalie Fekete, Jean-Daniel INRIA/LRI Bat. 490 Univ. Paris-Sud F91405 Orsay France Univ. of Sydney Australia

ISBN: (纸本)9783540747994

Visualizing social networks presents challeges for both node-link and adjacency matrix representations. Social networks are locally dense, which makes node-link displays unreadable. Yet, main analysis tasks require following paths, which is difficult on matrices. This article presents MatLink, a hybrid representation with links overlaid on the borders of a matrix and dynamic topological feedback as the pointer moves. We evaluated MatLink by an experiment comparing its readability, in term of errors and time, for social network-related tasks to the other conventional representations on graphs varying in size (small and medium) and density. It showed significant advantages for most tasks, especially path-related ones where standard matrices are weak. © IFIP International Federation for Information Processing 2007.

关键词： data visualization

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Workcraft: A static data flow structure editing, visualisation and analysis tool

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28th International conference on Applications and Theory of Petri Nets and Other Models of Concurrency

作者： Poliakov, Ivan Sokolov, Danil Mokhov, Andrey Univ Newcastle Sch EECE Microelect Syst Design Res Grp Newcastle Upon Tyne Tyne & Wear England

ISBN: (纸本)9783540730934

Reliable high-level modeling constructs are crucial to the design of efficient asynchronous circuits. Concepts such as static data flow structures (SDFS) considerably facilitate the design process by separating the circuit structure and functionality from the lower-level implementation details. Aside from providing a more abstract, higher level view, SDFS allow for efficient circuit analysis that is done by converting it to a Petri Net preserving behavioural equivalence. Once the equivalent Petri Net is obtained, existing theoretical and tool base can be applied to perform the model verification. However, recent advances in SDFS design were largely theoretical. There are no practical software tools available which would allow working with different SDFS models in a consistent way and provide means for their analysis and comparison. This paper presents a tool which aims to provide a common, cross-platform environment to assist with aforementioned tasks. The tool offers a GUI-based framework for visual editing, real-time simulation, animation and extendable analysis features for different SDFS types. The models themselves, as well as the supporting tools, are implemented as plug-ins.

关键词： data visualization

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