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  • Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

    Collections series Wiley Series in Probability and Statistics
    Praise for the First Edition“…extremely well written…a comprehensive and up-to-date overview of this important field.” – Journal of Environmental QualityExploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various ... En savoir plus

    $153.99 CAD

  • Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

    Order-Restricted Analysis of Microarray Data

    Collections series Mathematics and Statistics (R0)
    This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics ... En savoir plus

    $64.99 CAD

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    Lecture Notes of the Graduate Summer School on Bioinformatics of China

    Collections series Computer Science (R0)
    This book outlines 11 courses and 15 research topics in bioinformatics, based on curriculums and talks in a graduate summer school on bioinformatics that was held in Tsinghua University. The courses include: Basics for Bioinformatics, Basic Statistics for Bioinformatics, Topics in Computational Genomics, Statistical Methods in Bioinformatics, Algorithms in Computational Biology, Multivariate ... En savoir plus

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  • Measurement in Medicine

    A Practical Guide

    Collections series Practical Guides to Biostatistics and Epidemiology
    The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods ... En savoir plus

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  • Applied Multivariate Statistics with R

    Collections series Mathematics and Statistics (R0)
    This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, ... En savoir plus

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  • Applied Statistical Inference

    Likelihood and Bayes

    Collections series Mathematics and Statistics (R0)
    This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist ... En savoir plus

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  • Statistics in Food Science and Nutrition

    par Are Hugo Pripp ...
    Collections series Chemistry and Material Science (R0)
    Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical ... En savoir plus

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  • Protein Homology Detection Through Alignment of Markov Random Fields

    Using MRFalign

    Collections series Computer Science (R0)
    This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel Markov Random Fields (MRF) based method developed by the ... En savoir plus

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  • Statistical Analysis of Next Generation Sequencing Data

    Modifié par Somnath Datta, Dan Nettleton ...
    Collections series Mathematics and Statistics (R0)
    Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book ... En savoir plus

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  • Phenotypes and Genotypes

    The Search for Influential Genes

    Collections series Computer Science (R0)
    This timely text presents a comprehensive guide to genetic association, a new and rapidly expanding field that aims to elucidate how our genetic code (genotypes) influences the traits we possess (phenotypes). The book provides a detailed review of methods of gene mapping used in association with experimental crosses, as well as genome-wide association studies. Emphasis is placed on model selection ... En savoir plus

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  • Next Generation Sequencing Technologies and Challenges in Sequence Assembly

    Collections series Biomedical and Life Sciences (R0)
    The introduction of Next Generation Sequencing (NGS) technologies resulted in a major transformation in the way scientists extract genetic information from biological systems, revealing limitless insight about the genome, transcriptome and epigenome of any species. However, with NGS, came its own challenges that require continuous development in the sequencing technologies and bioinformatics ... En savoir plus

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  • Applying Quantitative Bias Analysis to Epidemiologic Data

    Collections series Mathematics and Statistics (R0)
    Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that ... En savoir plus

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