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检索条件"任意字段=Conference on Visualization and Data Analysis 2005"

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Bioinformatics Approach for Exploring MS/MS Proteomics data

Bioinformatics Approach for Exploring MS/MS Proteomics Data

引用

Annual Hawaii International conference on System Sciences (HICSS)

作者： M. Singhal K. Klicker G. Chin L. Trease E. Stephan D. Gracio Computational Sciences and Mathematics Pacific Northwest National Laboratory Richland WA USA

The use of computer tools and technologies is unavoidable when it comes to conducting mass spectrometry (MS) research at any significant level. This is mainly due to the large volume of MS data and the processing rates required. Most of the existing tools focus on one particular task: be it storing and maintaining the data or visualizing the dataset to draw inferences from the data. But for the researcher the problem of manually retrieving a large dataset from a datasource and customizing it for a particular visualization application is a daunting task in itself. This paper describes the Computational Cell Environment (CCE) which is a problem-solving environment for systems biology that provides uniform and integrated access to distributed, heterogeneous biological data sources and analysis applications, through a multi-tiered architecture. This paper also illustrates the necessity for such a tool by discussing its usage in proteomics research being performed on the diseased and normal states of Deinococcus Radiodurans along with corresponding curated data collected from community resources.

关键词： Bioinformatics Proteomics data visualization Mass spectroscopy Information retrieval Biology computing Distributed computing Cells (biology) Problem-solving Systems biology

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A practical loop-shaping approach for pole-placement in mechatronic systems

A practical loop-shaping approach for pole-placement in mech...

引用

IEEE conference on Control Technology and Applications (CCTA)

作者： A.J. den Hamer G.Z. Angelis M.J.G. van de Molengraft M. Steinbuch Technische Universiteit Eindhoven Eindhoven Noord-Brabant NL PHILIPS Applied Technologies Eindhoven Netherlands Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands Control Systems Technology Group Department of Mechanical Engineering Eindhovan University of Technology Eindhoven Netherlands

Manual design of feedback-controllers based on frequency-domain data is often used in industry to design low-order SISO controllers based on experimental data. Such design approaches are often either based on a data representation in the pole-zero plane, i.e. root-locus approaches, or a representation of the open-loop frequency response function (FRF), i.e. shaping of the sensitivity function. Both data representations however are not explicitly coupled during tuning to combine the advantages of both design methods. A new approach is proposed which combines both data representations into one controller design method such that loop-shaping in an extended form can be used to place closed-loop poles. By means of generalized stability, performance demands given in the pole-zero plane can be linked to phase and gain specification of the open-loop transfer-function. As a result, this method generalizes and refines the well known loop-shaping approach. Simulations and experiments with a two-mass-spring system show that transient behavior can be improved significantly compared to controllers that are designed on FRF data only

关键词： Mechatronics Open loop systems Control systems Tuning Design methodology Frequency domain analysis data visualization Feedback loop Stability criteria Electrical equipment industry

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Real time data acquisition and online signal processing for magnetoencephalography

Real time data acquisition and online signal processing for ...

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IEEE NPSS conference on Real Time

作者： H. Rongen V. Hadamschek M. Schiek Central Institute of Electronics Research Center Juelich GmbH Germany

To establish improved therapies for patients suffering from severe neurological and psychiatric diseases, a demand controlled and desynchronizing brain-pacemaker has been developed with techniques from statistical physics and nonlinear dynamics. To optimize the novel therapeutic approach, brain activity is investigated with a magnetoencephalography (MEG) system prior to surgery. For this, a realtime data acquisition system for a 148 channel MEG and online signal processing for artifact rejection, filtering, cross trial phase resetting analysis and 3D reconstruction of the cerebral current sources was developed. The developed PCI bus hardware is based on a FPGA and DSP design, using the benefits from both architectures. The reconstruction and visualization of the 3 dimensional volume data is done by the PC which hosts the realtime DAQ and pre-processing board. The framework of the MEG-online system is introduced and the architecture of the realtime DAQ board and online reconstruction is described. In addition we show first results with the MEG-online system for the investigation of dynamic brain activities in relation to external visual stimulation, based on test data sets

关键词： data acquisition Signal processing Magnetoencephalography Brain Medical treatment Psychology Diseases Physics Nonlinear dynamical systems Surgery

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Formal concept analysis over attributes with levels of granularity

Formal concept analysis over attributes with levels of granu...

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International conference on Computational Intelligence for Modelling, Control and Automation, and International conference on Intelligent Agents, Web Technologies and Internet Commerce

作者： R. Belohlavek V. Sklenar Department Computer Science Palacký University Olomouc Czech Republic

Formal concept analysis (FCA) is a method of exploratory analysis of object-attribute data tables. The two main outputs are a hierarchical structure of clusters (so-called formal concepts) and a non-redundant basis of so-called attribute implications. An important topic in FCA is to cope with a possibly large number of resulting clusters. We propose a method to control the number of clusters by means of specification of a granularity level of attributes. A user selects an appropriate level of granularity of each attribute. If the corresponding set of clusters is too large, the user can select a lower level of granularity for appropriate attributes. The resulting set of clusters is then smaller and can be seen as a rougher version of the original set of clusters. If the corresponding set of clusters is too small, the user can select a finer level of granularity for appropriate attributes. The resulting set of clusters is then larger and can be seen as a refinement of the original set of clusters. The paper presents a preliminary study on this topic. We describe the motivations, the method, basic theoretical insight, and experiments demonstrating the method

关键词： Lattices data analysis data mining Computer science data visualization Logic Software engineering Text categorization Electronic mail Software libraries

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Evaluation and Initial Validation Studies of Anatomical Structure Morphing

Evaluation and Initial Validation Studies of Anatomical Stru...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： K.T. Rajamani H. Talib M.A. Styner M.A.G. Ballester MEM Research Center Institute for Surgical Technology and Biomechanics University of Bern Switzerland Departments of CSc and Psychiatry Neurodevelopmental Disorders Research Center UNC Chapel Hill USA

Anatomical structure morphing is the process of estimating the patient-specific 3D shape of a given anatomy from a few digitized surface points. This provides an appropriate intra-operative 3D visualization without pre or intra-operative imaging. Our method fits a statistical deformable model to the digitized landmarks and bone surface points which are usually sparse. The statistical deformable model is constructed using principal component analysis (PCA) from an appropriate training set of objects. Our proposed technique extrapolates the 3D shape by computing a Mahalanobis distance weighted least-squares fit of this model to the minimal sparse 3D data. In this paper we present evaluation and initial validation studies of our morphing technique on 9 dry cadaver femur bones. The influence of size of the initial training set on the morphing performance is also evaluated by repeating our experiments on two different training sets of varying sizes

关键词： Anatomical structure Bones Surgery Shape Principal component analysis visualization Anatomy Deformable models Surface fitting Cadaver

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Visualisation and analysis of network motifs

Visualisation and analysis of network motifs

引用

International conference on Information Visualisation (IV)

作者： Weidong Huang C. Murray Xiaobin Shen Le Song Ying Xin Wu Lanbo Zheng NICTA University of Sydney Australia

Many of the complex networks that occur both in nature and in technology are built up from frequently recurring patterns of basic structural elements. These structural patterns known as motifs play a significant role in the function of the network. Visualisation is a useful tool for understanding the structure in a network. The quality of a visualisation can be significantly improved if it effectively displays these motifs. In this paper we present visualisations designed to highlight motifs detected through analysis. We argue that these visualisations designed to show functionally important subgraphs give a greater insight into the function of the network.

关键词： Transfer functions Performance analysis Complex networks Displays data visualization Pattern analysis Social network services Biological materials Electronic circuits Web sites

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A Visual analysis of the Current Status, Hotspots, and Evolution of International Mental Health Literacy Research Based on CiteSpace Science Knowledge Mapping

A Visual Analysis of the Current Status, Hotspots, and Evolu...

引用

data Intelligence and Innovative Application (DIIA), IEEE International conference on

作者： Hongxia Liang Ming Qiu College of Education GuangXi Vocational Normal University Nanning China

ISBN: (数字)9798331504434

ISBN: (纸本)9798331504441

Employing CiteSpace as an analytical instrument., this study conducts a visual analysis of the scientific knowledge mapping for 680 mental health literacy-related articles indexed in the Web of Science Core Collection from 2005 to 2024. The paper explores the current landscape., focal points., and evolutionary trajectories of global mental health literacy research by examining academic research trends., pivotal authors and collaborative teams., and the co-occurrence and clustering of keywords. Furthermore., it anticipates future research directions through the lens of mental health promotion., digital intervention strategies., and the study of assessment tools.

关键词： Knowledge engineering visualization Instruments Collaboration Mental health Market research Trajectory Lenses

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Session Editorial: Computer Infrastructure for Systems Biology

Session Editorial: Computer Infrastructure for Systems Biolo...

引用

IEEE International conference on Systems Engineering

作者： J.Y. Chen B.K. Sherman School of Informatics Indiana University Indianapolis IN USA Department of Computer and Information Science Purdue University School of Science Indianapolis IN USA Mendel Biotechnology Inc. Hayward CA USA

Computer Infrastructure for Systems Biology is the first international conference session dedicated to systems biology informatics held at the 18th International conference on Systems Engineering. Our goal is to bring forth ideas and collaborations among industrial and academic bioinformaticians, biocomputing professionals, data analysts, and system biologists to facilitate systems biology research and findings. The compilation of twelve full session papers and four poster papers at this meeting represents a snapshot of emerging research and development trends in systems biology informatics.

关键词： Biology computing Systems biology Bioinformatics Protein engineering Systems engineering and theory data analysis Biomedical informatics DNA Genomics data visualization

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Visualisation techniques for users and designers of layout algorithms

Visualisation techniques for users and designers of layout a...

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International conference on Information Visualisation (IV)

作者： G. Ross A. Morrison M. Chalmers Department of Computing Science University of Glasgow UK

Visualisation systems consisting of a set of components through which data and interaction commands flow have been explored by a number of researchers. Such hybrid and multistage algorithms can be used to reduce overall computation time, and to provide views of the data that show intermediate results and the outputs of complementary algorithms. In this paper we present work on expanding the range and variety of such components, with two new techniques for analysing and controlling the performance of visualisation processes. While the techniques presented are quite different, they are unified within HIVE: a visualisation system based upon a data-flow model and visual programming. Embodied within this system is a framework for weaving together our visualisation components to better afford insight into data and also deepen understanding of the process of the data's visualisation. We describe the new components and offer short case studies of their application. We demonstrate that both analysts and visualisation designers can benefit from a rich set of components and integrated tools for profiling performance.

关键词： Algorithm design and analysis data visualization Performance analysis Application software Joining processes Layout data flow computing Weaving Carbon capture and storage User interfaces

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Regional quantitative analysis of cortical surface maps of FDG PET images

Regional quantitative analysis of cortical surface maps of F...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： H.D. Protas P.M. Thompson K.M. Hayashi Chin-Lung Yu M. Bergsneider Sung-Cheng Huang Department of Biomathematics and Department of Molecular and Medical Pharmacology David Geffen School of Medicine Los Angeles CA USA Laboratory of Neuroimaging Department of Neurology David Geffen School of Medicine Los Angeles CA USA Department of Molecular and Medical Pharmacology David Geffen School of Medicine Los Angeles CA USA Division of Neurosurgery Brain Injury Research Center David Geffen School of Medicine Los Angeles CA USA

Cortical surface maps are advantageous for visualizing the 3D profile of cortical gray matter development and atrophy, and for integrating structural and functional images. In addition, cortical surface maps for PET data, when analyzed in conjunction with structural MRI data allow us to investigate, and correct for, partial volume effects. Here we compared quantitative regional PET values based on a 3D cortical surface modeling approach with values obtained directly from the 3D FDG PET images in various atlas-defined regions of interest (ROIs; temporal, parietal, frontal, and occipital lobes). FDG PET and 3D MR (SPGR) images were obtained and aligned to ICBM space for 15 normal subjects. Each image was further elastically warped in 2D parameter space of the cortical surface, to align major cortical sulci. For each point within a 15 mm distance of the cortex, the value of the PET intensity was averaged to give a cortical surface map of FDG uptake. The average PET values on the cortical surface map were calculated for each cortical point in a lobe, and were compared to those obtained by averaging across the entire ROIs on the 3D PET image directly. The average regional values obtained from the cortical surface map were found to match well with those taken directly from the 3D PET images. The results demonstrate that cortical surface maps of FDG PET images give accurate quantitative information on regional brain function, in addition to offering an improved visualization.

关键词： Image analysis Positron emission tomography Biomedical imaging Surface morphology data analysis data visualization Atrophy Magnetic resonance imaging Brain injuries Laboratories

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