Statistical Genomics and Bioinformatics, Second Edition, Ben Hui Liu and Leming M Shi
Автор: Liu Название: Statistical Genomics ISBN: 0849331668 ISBN-13(EAN): 9780849331664 Издательство: Taylor&Francis Цена: р. Наличие на складе: Поставка под заказ. Описание: This handbook on the statistical issues of genomics covers methods and the tried-and-true classical approaches, providing a complete picture of genome statistics. It contains much basic information on the use of statistics in genomics, including how to determine a sample size and carry out a hypothesis test. This volume is different from other statistics books on genetics in that it contains a mixture of discrete and continuous variables and larger amounts of data, describes the need for bioinformatics, and is computationally intensive. It also features software available on the Internet.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Ewens Название: Statistical Methods in Bioinformatics ISBN: 0387400826 ISBN-13(EAN): 9780387400822 Издательство: Springer Рейтинг: Цена: 10485 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can be generated to address extremely complex biological questions. This book covers biological topics including sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes.
Автор: Lu Название: Handbook of Statistical Bioinformatics ISBN: 3642163440 ISBN-13(EAN): 9783642163449 Издательство: Springer Рейтинг: Цена: 27022 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology.
Описание: Provides an introduction to the methods and techniques that students must understand to complete a module on statistics. This edition has introductory material in a chapter on descriptive statistics, illustrative examples within the chapters, downloadable datasets with UK and North American examples, SPSS for Windows and EXCEL, etc.
Описание: Low in fat, nutritious, the stir-fry is the solution to that age-old problem of what to cook for dinner. This book contains stir-fries, which are a mixture of classic Asian recipes and flavour combinations, made from seafood, beef, lamb, pork, chicken and vegetables. Provides an introduction to the methods and techniques that students must understand to complete a module on statistics. This edition has introductory material in a chapter on descriptive statistics, illustrative examples within the chapters, downloadable datasets with UK and North American examples, SPSS for Windows and EXCEL, etc.
Описание: Giving much more attention to noninferiority testing, this second edition provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems frequently encountered in the analysis of real data sets. It also includes new chapters on equivalence tests for multivariate data and tests for relevant differences between treatments. Drawing from real-life medical research, the author uses numerous examples throughout to illustrate the methods. Updated computer programs in SAS, Fortran, and R for facilitating the routine application of testing procedures are available online at www.crcpress.com
Описание: Presenting an extensive set of tools and methods for data analysis, this second edition includes more models and methods and significantly extends the possible analyses based on ranks. It contains a new section on rank procedures for nonlinear models, a new chapter on models with dependent error structure, and new material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models. The authors illustrate the methods using many real-world examples and R. Information about the data sets and R packages can be found at www.crcpress.com
Автор: Myers, Jerome L Название: Research design and statistical analysis ISBN: 0805864318 ISBN-13(EAN): 9780805864311 Издательство: Taylor&Francis Рейтинг: Цена: 10240 р. Наличие на складе: Невозможна поставка.
Описание: Provides coverage of the design principles and statistical concepts necessary to make sense of real data. This book provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. It reviews research planning and data exploration in statistics. It is suitable for practicing researchers.
Описание: Like its best-selling predecessor, this second edition continues to use numerous examples and applications to show how EDA methods are used in practice. This edition covers many innovative approaches for dimensionality reduction, clustering, and visualization, including nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, smoothing splines, probabilistic latent semantic analysis, spectral-based clustering, a rangefinder boxplot, scatterplots with marginal histograms, biplots, and Andrews’ images method. MATLAB® codes are available for download on the book’s website.
Описание: All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow enables you to gather and analyze data as well as dynamically present results in print and on the web. New to the Second Edition The rmarkdown package that allows you to create reproducible research documents in PDF, HTML, and Microsoft Word formats using the simple and intuitive Markdown syntax Improvements to RStudio’s interface and capabilities, such as its new tools for handling R Markdown documents Expanded knitr R code chunk capabilities The kable function in the knitr package and the texreg package for dynamically creating tables to present your data and statistical results An improved discussion of file organization, enabling you to take full advantage of relative file paths so that your documents are more easily reproducible across computers and systems The dplyr, magrittr, and tidyr packages for fast data manipulation Numerous modifications to R syntax in user-created packages Changes to GitHub’s and Dropbox’s interfaces Create Dynamic and Highly Reproducible Research This updated book provides all the tools to combine your research with the presentation of your findings. It saves you time searching for information so that you can spend more time actually addressing your research questions. Supplementary files used for the examples and a reproducible research project are available on the author’s website.
Автор: Lee, Jae Kyu Название: Statistical bioinformatics ISBN: 0471692727 ISBN-13(EAN): 9780471692720 Издательство: Wiley Рейтинг: Цена: 10555 р. Наличие на складе: Нет в наличии.
Описание: This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis.
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