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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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  • Statistics in Medicine

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  • Basics of Bioinformatics

    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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  • Primer to Analysis of Genomic Data Using R

    par Cedric Gondro ...
    Collections series Mathematics and Statistics (R0)
    Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate ... En savoir plus

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  • Introduction to Nonparametric Statistics for the Biological Sciences Using R

    Collections series Mathematics and Statistics (R0)
    This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:To introduce when nonparametric approaches to data analysis are appropriateTo introduce the leading nonparametric tests commonly used in biostatistics and how R is ... En savoir plus

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  • Permutation Testing for Isotonic Inference on Association Studies in Genetics

    Collections series Mathematics and Statistics (R0)
    The purpose of this book is to illustrate a new statistical approach to test allelic association and genotype-specific effects in the genetic study of diseases. There are some parametric and non-parametric methods available for this purpose. We deal with population-based association studies, but comparisons with other methods will also be drawn, analysing the advantages and disadvantages of each ... En savoir plus

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  • Design, Analysis, and Interpretation of Genome-Wide Association Scans

    par Daniel O. Stram ...
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    This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects. Particular detail is given to the practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical analysis. The goal in writing this book is to ... En savoir plus

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  • Epigenetics and Complex Traits

    Collections series Biomedical and Life Sciences (R0)
    This book will provide an overview of basic epigenetic phenomena; interaction between epigenetic and genetic factors; and the influence of epigenetic factors on inheritance. Epigenetic states may contribute to the penetrance of genetic polymorphisms or mutations and thereby modify inheritance patterns. This may result in non‐Mendelian inheritance of genetic traits such as observed in common human ... En savoir plus

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  • Recent Progress in the Genetic Epidemiology of Cancer

    Modifié par Henry T. Lynch, Petre Tautu ...
    The discipline of genetic epidemiology pertains to the vertical transmission of the susceptibility (predisposition) to a complex disease in a structured population. This statement meets halfway 1 the broad definitiongiven by N. E. Morton and S. c. Chung in 1978 2 and the concise one given by M. -C. King et al. in 1984. 1t pinpoints the fundamental genetic hypothesis, namely, the existence of an ... En savoir plus

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  • The Fundamentals of Modern Statistical Genetics

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    This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical ... En savoir plus

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  • Evolutionary Bioinformatics

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    Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct family trees showing tidy lines of descent. While dealing extensively with the ... En savoir plus

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  • Assessing Rare Variation in Complex Traits

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    Modifié par Eleftheria Zeggini, Andrew Morris ...
    This book is unique in covering a wide range of design and analysis issues in genetic studies of rare variants, taking advantage of collaboration of the editors with many experts in the field through large-scale international consortia including the UK10K Project, GO-T2D and T2D-GENES. Chapters provide details of state-of-the-art methodology for rare variant detection and calling, imputation and ... En savoir plus

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