Statistical Methods in Molecular Biology, Heejung Bang; Xi Kathy Zhou; Heather L. van Epps;
Автор: Snape Alison Название: Biochemistry and Molecular Biology, 5 edition ISBN: 0199609497 ISBN-13(EAN): 9780199609499 Издательство: Oxford Academ Рейтинг: Цена: 6651.00 р. Наличие на складе: Есть (1 шт.) Описание: The ideal text for any bioscience student encountering biochemistry and molecular cell biology for the first time. Exceptionally clear explanations, frequent diagrams, and a user-friendly design and layout ensure that the text provides a perfect introduction to this complex yet fascinating subject area.
Описание: Reflecting the significant developments of the past decade, this textbook explains key physical methods in modern biology. Each method is illustrated through real-world examples, alongside background information designed for both physicists and biologists, making this an ideal resource for students in biophysics at science and medical schools.
Автор: Cornel Mulhardt Название: Molecular Biology and Genomics, ISBN: 0120885468 ISBN-13(EAN): 9780120885466 Издательство: Elsevier Science Рейтинг: Цена: 6772.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Never before has it been so critical for lab workers to possess the proper tools and methodologies necessary to determine the structure, function, and expression of the corresponding proteins encoded in the genome. Mulhardt's Molecular Biology and Genomics helps aid in this daunting task by providing the reader with tips and tricks for more successful lab experiments. This strategic lab guide explores the current methodological variety of molecular biology and genomics in a simple manner, addressing the assets and drawbacks as well as critical points. It also provides short and precise summaries of routine procedures as well as listings of the advantages and disadvantages of alternative methods.
Автор: Brown Название: Essential Molecular Biology V1 ISBN: 0199636427 ISBN-13(EAN): 9780199636426 Издательство: Oxford Academ Рейтинг: Цена: 9425.00 р. 13464.00-30% Наличие на складе: Есть (1 шт.) Описание: This text is a guide to the basic techniques needed for molecular biology. It concentrates on the preparation, purification and handling of nucleic acids.
Автор: David P. Clark Название: Molecular Biology, 2nd Edition ISBN: 0123785944 ISBN-13(EAN): 9780123785947 Издательство: Elsevier Science Рейтинг: Цена: 8104.00 р. Наличие на складе: Нет в наличии.
Описание: The last quarter of the 20th century saw major scientific revolutions in genetics and computer technology. This title reflects massive surge in our understanding of the molecular foundations of genetics. It introduces basic concepts followed by more specific applications as the text evolves.
Автор: Heejung Bang; Xi Kathy Zhou; Heather L. van Epps; Название: Statistical Methods in Molecular Biology ISBN: 1607615789 ISBN-13(EAN): 9781607615781 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This progressive book presents the basic principles of proper statistical analyses. It progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology.
Описание: This book details the latest aspects of the culture of neural cells and explains the practical and theoretical considerations of the techniques involved. It features step-by-step, readily reproducible laboratory protocols and expert implementation advice.
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors' experience.
Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.
By the time you reach the end of the book (and online material) you will have gained:
A clear appreciation of the importance of a statistical approach to the design of your experiments,
A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables,
Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly,
An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working.
The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.
Автор: Agarwal Название: Statistical Methods for Recommender Systems ISBN: 1107036070 ISBN-13(EAN): 9781107036079 Издательство: Cambridge Academ Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.
Автор: Kohler Название: Data Analysis Using Stata, Third Edition ISBN: 1597181102 ISBN-13(EAN): 9781597181105 Издательство: Taylor&Francis Рейтинг: Цена: 11176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.
The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.
Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.
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: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 6494.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
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