Genetic Data Analysis Ii
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Genetic Data Analysis Ii
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Author : Bruce S. Weir
language : en
Publisher: Sinauer
Release Date : 1996
Genetic Data Analysis Ii written by Bruce S. Weir and has been published by Sinauer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Medical categories.
Genetic Data Analysis II details the statistical methodology needed to draw inferences from discrete genetic data. An emphasis is given to permutation tests, and developments in phylogenetic tree construction are reviewed.
Methods Of Microarray Data Analysis Ii
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Author : Simon M. Lin
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08
Methods Of Microarray Data Analysis Ii written by Simon M. Lin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-08 with Science categories.
Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.
Biometrics Volume Ii
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Author : Susan R. Wilson
language : en
Publisher: EOLSS Publications
Release Date : 2009-02-18
Biometrics Volume Ii written by Susan R. Wilson and has been published by EOLSS Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-18 with Mathematics categories.
Biometrics is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Biometry is a broad discipline covering all applications of statistics and mathematics to biology. The Theme Biometrics is divided into areas of expertise essential for a proper application of statistical and mathematical methods to contemporary biological problems. These volumes cover four main topics: Data Collection and Analysis, Statistical Methodology, Computation, Biostatistical Methods and Research Design and Selected Topics. These volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
Review Of Genetic Data Analysis Ii Method For Discrete Population Genetic Data Bruce Weir Second Edition
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Author : RE. Wenk
language : en
Publisher:
Release Date : 1997
Review Of Genetic Data Analysis Ii Method For Discrete Population Genetic Data Bruce Weir Second Edition written by RE. Wenk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Families categories.
The second, expanded edition of this single-authored treatise was written to serve geneticists who have limited statistical training and for statisticians who have been asked to apply quantitative methods to the rapid advances in fields such as molecular, population and evolutionary genetics, genomic mapping, sequencing and linkage analyses and forensic sciences. The paperback book is also a shelf reference and serves as a simple and useful review of concepts and applications. The book appears to be well-edited and without errors of notation, logic or typography because the prepublished material was already extensively reviewed by experts, and the author's students.
Statistics In Genetics
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Author : M.Elizabeth Halloran
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-06-04
Statistics In Genetics written by M.Elizabeth Halloran and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-06-04 with Medical categories.
Though the Genome Project will eventually result in the sequencing of the human genome, as well as the genomes of several other organisms, there will still be a need for good statistics for family studies of complex diseases. The papers in this volume are contributions by some of the leading researchers in the field to the current topics in statistical genetics. One section deals with DNA sequence matching and issues related to forensics, while another deals with statistical problems of modeling phylogenies and inferential difficulties related to the complex tree structures produced, as well as the method of coalescence.
Genetic Improvement Of Solanaceous Crops Volume 2
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Author : M K Razdan
language : en
Publisher: CRC Press
Release Date : 2006-01-12
Genetic Improvement Of Solanaceous Crops Volume 2 written by M K Razdan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-12 with Science categories.
Potato is the most significant non-cereal crop. Much attention has been paid to this commercially important crop. The aim of this volume is to capture the recent advances made in improving potatoes using traditional breeding methods as well as genetic engineering technology. The book provides a critical appraisal of the state-of-the-art finding on
Handbook On Analyzing Human Genetic Data
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Author : Shili Lin
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-13
Handbook On Analyzing Human Genetic Data written by Shili Lin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-13 with Medical categories.
This handbook offers guidance on selections of appropriate computational methods and software packages for specific genetic problems. Coverage strikes a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches.
Applied Probability
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Author : Kenneth Lange
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-17
Applied Probability written by Kenneth Lange and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-17 with Mathematics categories.
Despite the fears of university mathematics departments, mathematics educat,ion is growing rather than declining. But the truth of the matter is that the increases are occurring outside departments of mathematics. Engineers, computer scientists, physicists, chemists, economists, statis- cians, biologists, and even philosophers teach and learn a great deal of mathematics. The teaching is not always terribly rigorous, but it tends to be better motivated and better adapted to the needs of students. In my own experience teaching students of biostatistics and mathematical bi- ogy, I attempt to convey both the beauty and utility of probability. This is a tall order, partially because probability theory has its own vocabulary and habits of thought. The axiomatic presentation of advanced probability typically proceeds via measure theory. This approach has the advantage of rigor, but it inwitably misses most of the interesting applications, and many applied scientists rebel against the onslaught of technicalities. In the current book, I endeavor to achieve a balance between theory and app- cations in a rather short compass. While the combination of brevity apd balance sacrifices many of the proofs of a rigorous course, it is still cons- tent with supplying students with many of the relevant theoretical tools. In my opinion, it better to present the mathematical facts without proof rather than omit them altogether.
Handbook Of Statistical Genomics
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Author : David J. Balding
language : en
Publisher: John Wiley & Sons
Release Date : 2019-07-02
Handbook Of Statistical Genomics written by David J. Balding and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-02 with Science categories.
A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
Likelihood Bayesian And Mcmc Methods In Quantitative Genetics
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Author : Daniel Sorensen
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-22
Likelihood Bayesian And Mcmc Methods In Quantitative Genetics written by Daniel Sorensen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-22 with Science categories.
This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.