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Statistical Genomics, Liu, Ben Hui


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Цена: 65320.00T
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в Мои желания

Автор: Liu, Ben Hui
Название:  Statistical Genomics
ISBN: 9780367400743
Издательство: Taylor&Francis
Классификация:


ISBN-10: 036740074X
Обложка/Формат: Paperback
Страницы: 644
Вес: 1.19 кг.
Дата издания: 20.12.2019
Язык: English
Размер: 241 x 173 x 36
Читательская аудитория: Tertiary education (us: college)
Основная тема: Bioinformatics
Подзаголовок: Linkage, Mapping, and QTL Analysis
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
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.

Ketchup on your cornflakes?

Автор: Sharratt, Nick
Название: Ketchup on your cornflakes?
ISBN: 0439950643 ISBN-13(EAN): 9780439950640
Издательство: Scholastic UK
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Цена: 7910.00 T
Наличие на складе: Заказано в издательстве.
Описание: A great reissuing of a perennially popular split-page book inviting children to howl with laughter at the fantastic and fantastical food concoctions they create.

Star Wars - The Smuggler`s Guide

Автор: Wallace Daniel
Название: Star Wars - The Smuggler`s Guide
ISBN: 1789092620 ISBN-13(EAN): 9781789092622
Издательство: Titan books ltd.
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Цена: 15500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: What started as a simple logbook has been stolen, traded, and smuggled around the Galaxy to become the Smuggler`s Guide - a collection of hidden treasure locations, advice, and hard-earned data.

The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 76850.00 T
Наличие на складе: Заказано в издательстве.
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.

Emery`s Elements of Medical Genetics and Genomics, 16e

Автор: Peter D Turnpenny, Sian Ellard, Ruth Cleaver
Название: Emery`s Elements of Medical Genetics and Genomics, 16e
ISBN: 0702079669 ISBN-13(EAN): 9780702079665
Издательство: Elsevier Science
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Цена: 48270.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Long recognized as a leading textbook in this fast-moving field, Emery's Elements of Medical Genetics and Genomics offers current, complete information with a strong basis in practical clinical genetics and genomics for medical school and beyond. The 16th Edition of this award-winning text has been thoroughly updated throughout and includes case-based and multiple-choice questions, end-of-chapter summaries, an extensive glossary, and convenient online access, making it an ideal choice for all medical undergraduates as well as postgraduates seeking to improve their understanding and knowledge.

  • Includes new case-based studies with questions and answers throughout, in addition to multiple-choice self-assessment questions for study and review.
  • Covers key topics such as pharmacogenetics, personalized medicine, prenatal testing, reproductive genetics, and ethical and legal issues in medical genetics.
  • Divides the text into three easy-to-use sections: The Scientific Basis of Human Genetics, Genetics in Medicine and Genomic Medicine, and Clinical Genetics, Counseling and Ethics
  • Features full-color illustrations and other images that help readers visualize the appearance of genetic disorders and assist with the understanding of complex genetic structures.
  • Contains learning features such as summary boxes, an extensive glossary of terms, online hyperlinks to important genetics websites and clinical databases, and more.
  • Presents the extensive knowledge and experience of distinguished editors Peter D. Turnpenny and Sian Ellard, as well as new editor Ruth Cleaver.
  • Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

Statistical Rethinking

Автор: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Don`t put your finger in the jelly, nelly

Автор: Sharratt, Nick
Название: Don`t put your finger in the jelly, nelly
ISBN: 0439950627 ISBN-13(EAN): 9780439950626
Издательство: Scholastic UK
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Цена: 7030.00 T
Наличие на складе: Невозможна поставка.
Описание: Don`t poke your finger in the jelly, Nelly - you might upset a jellyphant! Don`t poke your finger in the jelly, Nelly - SNAP! Look out for the hungry alligrater! With real die-cut holes for curious fingers to explore, no child will be able to hold back a squeal of excitement as they discover exactly what their fingers have dipped into!

Statistical genomics

Название: Statistical genomics
ISBN: 1493935763 ISBN-13(EAN): 9781493935765
Издательство: Springer
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Цена: 111790.00 T
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.

Principles of Statistical Genomics

Автор: Shizhong Xu
Название: Principles of Statistical Genomics
ISBN: 1489994041 ISBN-13(EAN): 9781489994042
Издательство: Springer
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Цена: 78350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book synthesizes current statistical methodologies applied to genome study, exploring statistical models and methods behind major bioinformatics software. Helps researchers choose the optimal algorithm to analyze data and to better interpret results.

Evolutionary Genomics

Автор: Maria Anisimova
Название: Evolutionary Genomics
ISBN: 1493960423 ISBN-13(EAN): 9781493960422
Издательство: Springer
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Цена: 153720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This highly practical volume, with its step-by-step techniques, brings together recent developments in the statistical methodology of evolutionary genomics and the challenges that followed as a result of rapidly improving sequencing technologies.

Evolutionary Genomics

Автор: Maria Anisimova
Название: Evolutionary Genomics
ISBN: 1493959085 ISBN-13(EAN): 9781493959082
Издательство: Springer
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Цена: 135090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines developments in statistical methodology and the challenges that followed rapidly improving sequencing technologies. Includes articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight.

Handbook of Statistical Genomics

Автор: David J. Balding, Ida Moltke, John Marioni
Название: Handbook of Statistical Genomics
ISBN: 1119429145 ISBN-13(EAN): 9781119429142
Издательство: Wiley
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Цена: 307240.00 T
Наличие на складе: Поставка под заказ.
Описание: Previous title: Handbook of statistical genetics.

Evolutionary Genomics

Автор: Maria Anisimova
Название: Evolutionary Genomics
ISBN: 149399073X ISBN-13(EAN): 9781493990733
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Невозможна поставка.
Описание: This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results.

Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward.


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