Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
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: T.E. Barnard; J?rgen Einax; K.S. Booksh; R.G. Brer Название: Chemometrics in Environmental Chemistry - Statistical Methods ISBN: 3662148854 ISBN-13(EAN): 9783662148853 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Pattern recognition and other chemometrical techniques are important tools in interpreting environmental data. This volume presents authoritatively state-of-the-art procedures for measuring and handling environmental data. The chapters are written by leading experts.
Название: Statistical genomics ISBN: 1493935763 ISBN-13(EAN): 9781493935765 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on genomic data.
Автор: Warren J. Ewens; Gregory R. Grant Название: Statistical Methods in Bioinformatics ISBN: 1441923020 ISBN-13(EAN): 9781441923028 Издательство: Springer Рейтинг: Цена: 13059.00 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 now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community.
This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods.
The second edition features new chapters on microarray analysis and on statistical inference, including a discussion of ANOVA, and discussions of the statistical theory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized.
The book is written so as to appeal to biologists and computer scientists who wish to know more about the statistical methods of the field, as well as to trained statisticians who wish to become involved with bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level, but with an emphasis on material relevant to later chapters and often not covered in standard introductory texts. Later chapters should be immediately accessible to the trained statistician. Sufficient mathematical background consists of introductory courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context, and standard mathematical concepts are summarized in an Appendix. Problems are provided at the end of each chapter allowing the reader to develop aspects of the theory outlined in the main text.
Warren J. Ewens holds the Christopher H. Brown Distinguished Professorship at the University of Pennsylvania. He is the author of two books, Population Genetics and Mathematical Population Genetics. He is a senior editor of Annals of Human Genetics and has served on the editorial boards of Theoretical Population Biology, GENETICS, Proceedings of the Royal Society B and SIAM Journal in Mathematical Biology. He is a fellow of the Royal Society and the Australian Academy of Science.
Gregory R. Grant is a senior bioinformatics researcher in the University of Pennsylvania Computational Biology and Informatics Laboratory. He obtained his Ph.D. in number theory from the University of Maryland in 1995 and his Masters in Computer Science from the University of Pennsylvania in 1999.
Comments on the First Edition. "This book would be an ideal text for a postgraduate course... and] is equally well suited to individual study.... I would recommend the book highly" (Biometrics). "Ewens and Grant have given us a very welcome introduction to what is behind those pretty graphical user] interfaces" (Naturwissenschaften.). "The authors do an excellent job of presenting the essence of the material without getting bogged down in mathematical details" (Journal. American Staistical. Association). "The authors have restructured classical material to a great extent and the new organization of the different topics is one of the outstanding services of the book" (Metrika).
Автор: Daniel L. Hartl; Andrew G. Clark Название: Principles of Population Genetics ISBN: 0878933085 ISBN-13(EAN): 9780878933082 Издательство: Springer Рейтинг: Цена: 15689.00 р. Наличие на складе: Поставка под заказ.
Описание: David Lindsay was a writer of fantasy fiction who died in 1945. Interest in Lindsay has been growing steadily, and in this book, Bernard Sellin has written a comprehensive survey of Lindsay`s life and work, analysing the thematic patterns of Lindsay`s settings, plots and characters. It will be read with profit by all those who are interested both in Lindsay and in the genre of fantasy literature.
Автор: Beauchamp Tom L Название: Principles of Biomedical Ethics ISBN: 0199924589 ISBN-13(EAN): 9780199924585 Издательство: Oxford Academ Рейтинг: Цена: 7389.00 р. Наличие на складе: Поставка под заказ.
Описание: Building on the best-selling tradition of previous editions, Principles of Biomedical Ethics, Seventh Edition, provides a highly original, practical, and insightful guide to morality in the health professions.
Автор: Craig Nancy Название: Molecular Biology Principles of Genome Function ISBN: 0199658579 ISBN-13(EAN): 9780199658572 Издательство: Oxford Academ Рейтинг: Цена: 9186.00 р. Наличие на складе: Поставка под заказ.
Описание: A fresh, distinctive approach to the teaching of molecular biology. With its focus on key principles, its emphasis on the commonalities that exist between the three kingdoms of life, and its integrated coverage of experimental methods and approaches, Molecular Biology is the perfect companion to any molecular biology course.
Автор: Stephen W. Scheff Название: Fundamental Statistical Principles for the Neurobiologist ISBN: 0128047534 ISBN-13(EAN): 9780128047538 Издательство: Elsevier Science Рейтинг: Цена: 8588.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature.
An introductory guide to statistics aimed specifically at the neuroscience audience
Contains numerous examples with actual data that is used in the analysis
Gives the investigators a starting pointing for evaluating data in easy-to-understand language
Explains in detail many different statistical tests commonly used by neuroscientists
Автор: Pierce Benjamin A Название: Genetics Essentials. Concepts and Connections. - 3th ed. ISBN: 1464190755 ISBN-13(EAN): 9781464190759 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Поставка под заказ.
Описание: Derived from Ben Pierce's popular and acclaimed Genetics: A Conceptual Approach, this streamlined text covers basic transmission, molecular, and population genetics.
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