检索结果-内蒙古大学图书馆

2014年

作者： Gemignani Zach Gemignani Chris Galentino Richard Schuermann Patrick

ISBN: (数字)9781118850893

ISBN: (纸本)9781118851012

A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable and easy to understand Develop unique skills required to shape data to the needs of different audiences Full color book links to bonus content at *** Written by well-known and highly esteemed authors in the data presentation community data Fluency: Empowering Your Organization with Effective Communication focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use data Fluency today to develop the skills necessary to turn data into effective displays for decision-making.

关键词： data Fluency: Using data Presentation tools for Effective Communication Zach Gemignani Chris Gemignani data visualization data reporting analytical tools user experience reporting dashboards making data approachable data visualization techniques data visualization tools data presentation techniques data presentation tools layout and styling audience/user needs decision-making with data framework for data presentation strategies for reporting and visualization effective design patterns

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Analysis of Volatile Organic Compounds in Exhaled Breath by Gas Chromatography-Mass Spectrometry Combined with Chemometric Analysis

Analysis of Volatile Organic Compounds in Exhaled Breath by ...

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作者： Jan W. Dallinga Agnieszka Smolinska Frederik-Jan Schooten

Analysis of exhaled breath samples reveals the presence of many volatile organic compounds (VOCs). The VOC composition of the breath, the so-called breath profile, contains a variety of information including the health status and condition of the organism that produced the sample. Therefore, breath profiling can be used in diagnosing and monitoring disease and other characteristics of the organism, such as phenotype, diet, and exercise. Among various techniques available for breath analysis, GC-MS provides the most extensive information with regard to the qualitative and quantitative presence of VOCs in breath. less

关键词： Gas Chromatography (GC) Gas Chromatography-mass Spectrometry Statistical Calculation data visualization tools Principal Component Analysis Chromatography Mass Spectrometry data analysis Homo sapiens Chemometrics Breath analysis Volatile organic compounds Breath sampling Breathomics Correlation-optimized warping

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Functional Molecular Units for Guiding Biomarker Panel Design

Functional Molecular Units for Guiding Biomarker Panel Desig...

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作者： Andreas Heinzel Irmgard Mühlberger Raul Fechete Bernd Mayer Paul Perco

The field of biomarker research has experienced a major boost in recent years, and the number of publications on biomarker studies evaluating given, but also proposing novel biomarker candidates is increasing rapidly for numerous clinically relevant disease areas. However, individual markers often lack sensitivity and specificity in the clinical context, resting essentially on the intra-individual phenotype variability hampering sensitivity, or on assessing more general processes downstream of the causative molecular events characterizing a disease term, in consequence impairing disease specificity. The trend to circumvent these shortcomings goes towards utilizing multimarker panels, thus combining the strength of individual markers to further enhance performance regarding both sensitivity and specificity. A way of identifying the optimal composition of individual markers in a panel approach is to pick each marker as representative for a specific pathophysiological (mechanistic) process relevant for the disease under investigation, hence resulting in a multimarker panel for covering the set of pathophysiological processes underlying the frequently multifactorial composition of a clinical phenotype. Here we outline a procedure of identifying such sets of disease-specific pathophysiological processes (units) delineated on the basis of disease-associated molecular feature lists derived from literature mining as well as aggregated, publicly available Omics profiling experiments. With such molecular units in hand, providing an improved reflection of a specific clinical phenotype, biomarker candidates can then be assigned to or novel candidates are to be selected from these units, subsequently resulting in a multimarker panel promising improved accuracy in disease diagnosis as well as prognosis. less

关键词： Transcriptomics Gene Expression Profiling Pathway Or Network visualization Cytoscape Statistical Calculation Proteomics Metabolomics Genetic Association Studies Text Mining Genome Assembly Affinity Purification data visualization tools Microarray GenBank Ensembl Splicing Assay Homo sapiens Protein–protein interaction networks Literature mining Gene sets Omics profiles Network modules Biomarker candidates Biomarker panels

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Using PLINK for Genome-Wide Association Studies (GWAS) and data Analysis

Using PLINK for Genome-Wide Association Studies (GWAS) and D...

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作者： Miguel E. Rentería Adrian Cortes Sarah E. Medland

Within this chapter we introduce the basic PLINK functions for reading in data, applying quality control, and running association analyses. Three worked examples are provided to illustrate: data management and assessment of population substructure, association analysis of a quantitative trait, and qualitative or case–control association analyses. less

关键词： data visualization tools Genotyping data analysis Homo sapiens Population stratification data management Multidimensional scaling PLINK Quantitative trait Genetic association Binomial trait

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Structure-Based Virtual Screening for Novel Ligands

Structure-Based Virtual Screening for Novel Ligands

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作者： William R. Pitt Mark D. Calmiano Boris Kroeplien Richard D. Taylor James P. Turner Michael A. King

Computational searches for novel ligands for a given protein binding site have become ubiquitous in the pharmaceutical industry, and are potentially equally useful in helping identify small-molecule tools for biology. Here we describe the steps needed to carry out a high-throughput docking (HTD) or three-dimensional (3D) pharmacophore virtual screen starting with a model of the target protein’s structure. The advice given is, in most cases, software independent but some tips are provided which apply only to certain popular programs. Useful work can be carried out using free programs on a modest workstation. Of course, any resultant “hits” remain in the virtual world until they are experimentally tested. less

关键词： Virtual Screening Molecular Modeling Protein Structure Analysis Homology Modeling Molecular Dynamics Simulation Molecular Docking X-ray Crystallography data visualization tools AutoDock Docking Method Computational chemistry Pharmacophores Docking

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Cryptococcus neoformans: The Model Organism for Yeast Antifungal Drug Susceptibility Testing

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MYCOPATHOLOGIA 2012年第5-6期173卷 435-443页

作者： Bauer, Madeline Thomas, Ann M. Larsen, Robert A. Univ So Calif Dept Med Infect Dis Los Angeles CA 90033 USA Univ No Colorado Dept Stat Greeley CO 80639 USA

We describe an approach to antifungal susceptibility testing of the yeast Cryptococcus neoformans that shows promise for predicting the mycological response in patients to treatment. Quantitative cultures of the cerebrospinal fluid provide a direct measure of the patient's mycological response to treatment and have been used in multiple studies to identify the most promising antifungal drugs for subsequent testing in larger clinical studies. Using these quantitative measures of response, a modified macrobroth dilution assay system shows the potential for predicting the response of an individual patient to treatment with amphotericin B, fluconazole, or the combination of amphotericin B plus flucytosine. We describe this modified macrobroth dilution assay method, the statistical approach for assessing susceptibility, and the clinical decisions that can be guided by this in vitro antifungal drug susceptibility testing.

关键词： Robust response surface design Loess regression data visualization tools In vitro-clinical correlations Patient-specific treatment selection

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Irida: A real-time Wireless Sensor Network visualization feedback protocol

Irida: A real-time Wireless Sensor Network visualization fee...

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8th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS)/IWSN/WiSARN/PWSN

作者： Karagiannis, Marios Dallinge, Laetitia Rolim, Jose Ctr Univ Informat Geneva Switzerland

ISBN: (纸本)9780769547077

In this paper, we describe the implementation of a real time visualization and feedback system for Wireless Sensor Network algorithms. The system is based on a fixed hardware testbed, which is deployed on a vertical flat surface and a feedback loop system that takes information about the current state of the network and projects this state, in a visual way, on the surface itself using a video projector. The protocol used is open and simple to use, and can be easily adapted for different hardware configurations. We call our system Irida.

关键词： Wireless Sensor Networks data visualization tools visualization Protocol Visual Feedback

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Metabolomics for Salinity Research

Metabolomics for Salinity Research

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作者： Ute Roessner Diane M. Beckles

Soil salinity devastates agriculture. It reduces crop yields and makes arable land unsuitable for later use. Many species have evolved highly efficient strategies to sense, transduce, and build up tolerance to high salinity and even sensitive species have endogenous mechanism for coping with this stress. These underlying physiological and metabolic mechanisms can be unraveled using metabolomics. Here we describe detailed protocols of how to extract polar metabolites for analysis using GC-MS and LC-MS. We also touch briefly on considerations that should be taken into account when designing the experiment and how the resulting data may be analyzed and visualized in a biological context. less

关键词： Metabolomics Gas Chromatography-mass Spectrometry Liquid Chromatography-mass Spectrometry Tissue Procurement Statistical Calculation HPLC Tandem Mass Spectrometry Principal Component Analysis data visualization tools Homogenization Quadrupole Time-of-flight Mass Spectrometry data analysis Metabolite extraction Polar metabolites

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Computational Analysis of RNA-seq

Computational Analysis of RNA-seq

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作者： Scott A. Givan Christopher A. Bottoms William G. Spollen

Using High-Throughput DNA Sequencing (HTS) to examine gene expression is rapidly becoming a viable choice and is typically referred to as RNA-seq. Often the depth and breadth of coverage of RNA-seq data can exceed what is achievable using microarrays. However, the strengths of RNA-seq are often its greatest weaknesses. Accurately and comprehensively mapping millions of relatively short reads to a reference genome sequence can require not only specialized software, but also more structured and automated procedures to manage, analyze, and visualize the data. Additionally, the computational hardware required to efficiently process and store the data can be a necessary and often-overlooked component of a research plan. We discuss several aspects of the computational analysis of RNA-seq, including file management and data quality control, analysis, and visualization. We provide a framework for a standard nomenclature system that can facilitate automation and the ability to track data provenance. Finally, we provide a general workflow of the computational analysis of RNA-seq and a downloadable package of scripts to automate the *** High-Throughput DNA Sequencing (HTS) to examine gene expression is rapidly becoming a viable choice and is typically referred to as RNA-seq. Often the depth and breadth of coverage of RNA-seq data can exceed what is achievable using microarrays. However, the strengths of RNA-seq are often its greatest weaknesses. Accurately and comprehensively mapping millions of relatively short reads to a reference genome sequence can require not only specialized software, but also more structured and automated procedures to manage, analyze, and visualize the data. Additionally, the computational hardware required to efficiently process and store the data can be a necessary and often-overlooked component of a research plan. We discuss several aspects of the computational analysis of RNA-seq, including file management and data quality control,

关键词： RNA-seq DNA Sequencing Base-calling High-Throughput Sequencing Sequence Assembly Bowtie RNA-Seq Analysis Cufflinks Cuffdiff TopHat Cuffcompare data visualization tools Genome visualization data analysis Microarray SAMtools Felis catus data processing Gene expression

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data Mining Methods in Omics-Based Biomarker Discovery

Data Mining Methods in Omics-Based Biomarker Discovery

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作者： Fan Zhang Jake Y. Chen

The advent of Omics technologies as genomics and proteomics has brought the hope of discovering novel biomarkers that can be used to diagnose, predict, and monitor the progress of disease. The importance of data mining to identify biological markers for the diagnostic classification and prognostic assessment in the context of microarray and proteomic data has been increasingly recognized. We present an overview of general data mining methods and their applications to biomarker discovery with particular focus on genomics and proteomics data. Two case studies are exemplarily presented, and relevant data mining terminology and techniques are explained. less

关键词： data Mining Genomics Proteomics Mass Spectrometry Microarray Electrocardiogram Neural Network Model Liquid Chromatography-tandem Mass Spectrometry Decision Tree SALDI MS data visualization tools Cytoscape MATLAB DNA Sequencing Genotyping Nucleic Acid Microarray Artificial Intelligence Machine Learning MALDI Mass Spectrometry Fractionation data analysis Biomarker discovery

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