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: 44340.00 T Наличие на складе: Есть 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.
Автор: Zaccai, Nathan R. (University of Cambridge) Serdyuk, Igor N. Zaccai, Joseph Название: Methods in Molecular Biophysics: Structure, Dynamics, Function for Biology and Medicine, 2 ed. ISBN: 1107056373 ISBN-13(EAN): 9781107056374 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 45150.00 T 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: 62830.00 T Наличие на складе: Есть 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: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 43290.00 T 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.
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: 204970.00 T 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.
Автор: Becketti Название: Introduction to Time Series Using Stata ISBN: 1597181323 ISBN-13(EAN): 9781597181327 Издательство: Taylor&Francis Рейтинг: Цена: 75530.00 T Наличие на складе: Невозможна поставка. Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.
Автор: Amini, Shohreh (Editor), White, Martyn K (Editor) Название: Neuronal Cell Culture: Methods and Protocols (2013) ( Methods in Molecular Biology #1078 ) ISBN: 1627036393 ISBN-13(EAN): 9781627036399 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Pecorino, Lauren Название: Molecular Biology of Cancer ISBN: 019957717X ISBN-13(EAN): 9780199577170 Издательство: Oxford Academ Рейтинг: Цена: 38010.00 T Наличие на складе: Невозможна поставка. Описание: The third edition of The Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics gives a fresh approach to the study of the molecular basis of cancer, by showing how our understanding of the defective mechanisms which drive cancer is leading to the development of new targeted therapeutic agents. Written with the student learner in mind, the book features a variety of learning features to help students engage with, and master, the concepts presented. The emphasis is not on exhaustive coverage of the field, but on acquiring a solid understanding of the essentials of the subject - and an appreciation of how a theoretical understanding can be transformed into therapeutic benefit.
Автор: Lieberman Название: BRS Biochemistry, Molecular Biology, and Genetics, 6e ISBN: 1451175361 ISBN-13(EAN): 9781451175363 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 36730.00 T Наличие на складе: Невозможна поставка. Описание: BRS Biochemistry, Molecular Biology, and Genetics is an excellent aid for USMLE Step 1 preparation and for coursework in biochemistry, molecular biology, and genetics. Fully updated for its sixth edition, chapters are written in an outline format and include pedagogical features such as bolded key words, figures, tables, algorithms, and highlighted clinical correlates. USMLE-style questions and answers follow each chapter and a comprehensive exam appears at the end of the book.
Автор: Agarwal Название: Statistical Methods for Recommender Systems ISBN: 1107036070 ISBN-13(EAN): 9781107036079 Издательство: Cambridge Academ Рейтинг: Цена: 50680.00 T 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.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
