Автор: Anthony J.F. Griffiths, John Doebley, Catherine Pe Название: An Introduction to Genetic Analysis ISBN: 1319114776 ISBN-13(EAN): 9781319114770 Издательство: Macmillan Learning Рейтинг: Цена: 101630.00 T Наличие на складе: Нет в наличии. Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
Автор: Drummond Название: Bayesian Evolutionary Analysis with BEAST ISBN: 1107019656 ISBN-13(EAN): 9781107019652 Издательство: Cambridge Academ Рейтинг: Цена: 55970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A comprehensive overview of Bayesian approaches to phylogenetics using Markov chain Monte Carlo (MCMC) methods, offering theoretical insight, pragmatic advice and tools to develop further models. This title is a one-stop reference to applying the latest phylogenetic models in BEAST 2, interpreting the analyses and extending these models further.
Название: Gene-Environment Interaction Analysis ISBN: 9814669636 ISBN-13(EAN): 9789814669634 Издательство: Taylor&Francis Рейтинг: Цена: 112290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first book dealing with the theme of gene–environment (G?E) interaction analysis. G?E interaction analysis is a statistical method for clarifying G?E interactions applicable to a phenotype or a disease that is the result of interactions between genes and the environment. The book compiles and details cutting-edge research in bioinformatics and computational biology. Edited by Sumiko Anno, this book will appeal to anyone involved in bioinformatics and computational biology.
Автор: Mehmet Tevfik Dorak Название: Genetic Association Studies: Background, Conduct, Analysis, Interpretation ISBN: 0815344635 ISBN-13(EAN): 9780815344636 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Genetic Association Studies is designed for students of public health, epidemiology, and the health sciences, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics. It presents a balanced view of genetic associations with coverage of candidate gene studies as well as genome-wide association studies. All aspects of a genetic association study are included, from the lab to analysis and interpretation of results, but also bioinformatics approaches to causality assessment. The role of the environment in genetic disease is also highlighted. Genetic Association Studies will enable readers to understand and critique genetic association studies and set them on the way to designing, executing, analyzing, interpreting, and reporting their own.
Novel Techniques for Analyzing and Combining Data from Modern Biological Studies Broadens the Traditional Definition of Meta-Analysis
With the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative information combination methods, Meta-analysis and Combining Information in Genetics and Genomics looks at how to analyze multiple studies from a broad perspective.
After presenting the basic ideas and tools of meta-analysis, the book addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments. The expert contributors show how some data combination problems can arise even within the same basic framework and offer solutions to these problems. They also discuss the combined analysis of different data types, giving readers an opportunity to see data combination approaches in action across a wide variety of genome-scale investigations.
As heterogeneous data sets become more common, biological understanding will be significantly aided by jointly analyzing such data using fundamentally sound statistical methodology. This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets, either of the same type or multiple data sources.
Автор: Rabadan, Raul (columbia University, New York) Blumberg, Andrew J. (university Of Texas, Austin) Название: Topological data analysis for genomics and evolution ISBN: 1107159547 ISBN-13(EAN): 9781107159549 Издательство: Cambridge Academ Рейтинг: Цена: 48570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Algebraic topology is particularly suited for the analysis of high dimensional large data sets, including those in modern biology. The book introduces geometric and topological methods, including statistics, as well as applications to biology - including cancer genetics, single cell studies and reconstructing evolutionary relationships from genomic data.
Автор: Pierce Benjamin A Название: Genetics Essentials. Concepts and Connections. - 3th ed. ISBN: 1464190755 ISBN-13(EAN): 9781464190759 Издательство: Springer Рейтинг: Цена: 60550.00 T 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.
Автор: Fran?ois Pompanon; Aur?lie Bonin Название: Data Production and Analysis in Population Genomics ISBN: 1493959131 ISBN-13(EAN): 9781493959136 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book details protocols and methods that are applicable to species where genomic resources are scarce. It addresses how to implement the best method to obtain the required data given constraints as well as the other genetic resources already available.
Автор: Natasa Przulj Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists ISBN: 110842175X ISBN-13(EAN): 9781108421751 Издательство: Cambridge Academ Рейтинг: Цена: 95030.00 T Наличие на складе: Поставка под заказ. Описание: The increased and widespread availability of large network data resources in recent years has resulted in the increased need for effective methods for the analysis of these networks. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straight forward task because of the size of the data sets and the computer power required for the analyses. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this inter-disciplinary text provides an ideal introduction to and insight into the field of network data analysis.
Автор: Natasa Przulj Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists ISBN: 1108432239 ISBN-13(EAN): 9781108432238 Издательство: Cambridge Academ Рейтинг: Цена: 51750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Bringing together leading experts in the field of network data analysis, this text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning. Using real-world biological and medical examples, applications of these theories are discussed and creative thinking is encouraged in the analysis of such complex network data sets.
Автор: Francisco Azuaje Название: Data Analysis and Visualization in Genomics and Proteomics ISBN: 0470094397 ISBN-13(EAN): 9780470094396 Издательство: Wiley Рейтинг: Цена: 155180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems.
Автор: Spooner Jamie Название: Genomics: Principles and Analysis ISBN: 1682867129 ISBN-13(EAN): 9781682867129 Издательство: Неизвестно Рейтинг: Цена: 157700.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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