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Introduction To Computer Intensive Methods Of Data Analysis In Biology

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Introduction To Computer Intensive Methods Of Data Analysis In Biology

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Author : Derek A. Roff
language : en
Publisher:
Release Date : 2006

Introduction To Computer Intensive Methods Of Data Analysis In Biology written by Derek A. Roff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

Introduction To Computer Intensive Methods Of Data Analysis In Biology

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Author : Derek A. Roff
language : en
Publisher: Cambridge University Press
Release Date : 2006-05-25

Introduction To Computer Intensive Methods Of Data Analysis In Biology written by Derek A. Roff and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-25 with Medical categories.

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Randomization Bootstrap And Monte Carlo Methods In Biology

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Author : Bryan F.J. Manly
language : en
Publisher: CRC Press
Release Date : 2020-07-22

Randomization Bootstrap And Monte Carlo Methods In Biology written by Bryan F.J. Manly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-22 with Mathematics categories.

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications, with data sets available online. Features Presents an overview of computer-intensive statistical methods and applications in biology Covers a wide range of methods including bootstrap, Monte Carlo, ANOVA, regression, and Bayesian methods Makes it easy for biologists, researchers, and students to understand the methods used Provides information about computer programs and packages to implement calculations, particularly using R code Includes a large number of real examples from a range of biological disciplines Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a range of disciplines. The detailed, worked examples of real applications will enable practitioners to apply the methods to their own biological data.

Biological Distance Analysis

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Author : Marin A. Pilloud
language : en
Publisher: Academic Press
Release Date : 2016-08-19

Biological Distance Analysis written by Marin A. Pilloud and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-19 with Law categories.

Biological Distance Analysis: Forensic and Bioarchaeological Perspectives synthesizes research within the realm of biological distance analysis, highlighting current work within the field and discussing future directions. The book is divided into three main sections. The first section clearly outlines datasets and methods within biological distance analysis, beginning with a brief history of the field and how it has progressed to its current state. The second section focuses on approaches using the individual within a forensic context, including ancestry estimation and case studies. The final section concentrates on population-based bioarchaeological approaches, providing key techniques and examples from archaeological samples. The volume also includes an appendix with additional resources available to those interested in biological distance analyses. Defines datasets and how they are used within biodistance analysis Applies methodology to individual and population studies Bridges the sub-fields of forensic anthropology and bioarchaeology Highlights current research and future directions of biological distance analysis Identifies statistical programs and datasets for use in biodistance analysis Contains cases studies and thorough index for those interested in biological distance analyses

Statistical Methods In Bioinformatics

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Author : Warren J. Ewens
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Statistical Methods In Bioinformatics written by Warren J. Ewens 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 2013-03-09 with Medical categories.

There was a real need for a book that introduces statistics and probability as they apply to bioinformatics. This book presents an accessible introduction to elementary probability and statistics and describes the main statistical applications in the field.

Encyclopedia Of Environmental Change

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Author : John A Matthews
language : en
Publisher: SAGE
Release Date : 2013-12-13

Encyclopedia Of Environmental Change written by John A Matthews and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-13 with Nature categories.

Accessibly written by a team of international authors, the Encyclopedia of Environmental Change provides a gateway to the complex facts, concepts, techniques, methodology and philosophy of environmental change. This three-volume set illustrates and examines topics within this dynamic and rapidly changing interdisciplinary field. The encyclopedia includes all of the following aspects of environmental change: Diverse evidence of environmental change, including climate change and changes on land and in the oceans Underlying natural and anthropogenic causes and mechanisms Wide-ranging local, regional and global impacts from the polar regions to the tropics Responses of geo-ecosystems and human-environmental systems in the face of past, present and future environmental change Approaches, methodologies and techniques used for reconstructing, dating, monitoring, modelling, projecting and predicting change Social, economic and political dimensions of environmental issues, environmental conservation and management and environmental policy Over 4,000 entries explore the following key themes and more: Conservation Demographic change Environmental management Environmental policy Environmental security Food security Glaciation Green Revolution Human impact on environment Industrialization Landuse change Military impacts on environment Mining and mining impacts Nuclear energy Pollution Renewable resources Solar energy Sustainability Tourism Trade Water resources Water security Wildlife conservation The comprehensive coverage of terminology includes layers of entries ranging from one-line definitions to short essays, making this an invaluable companion for any student of physical geography, environmental geography or environmental sciences.

Handbook Of Particle Detection And Imaging

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Author : Claus Grupen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-08

Handbook Of Particle Detection And Imaging written by Claus Grupen 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 2012-01-08 with Science categories.

The handbook centers on detection techniques in the field of particle physics, medical imaging and related subjects. It is structured into three parts. The first one is dealing with basic ideas of particle detectors, followed by applications of these devices in high energy physics and other fields. In the last part the large field of medical imaging using similar detection techniques is described. The different chapters of the book are written by world experts in their field. Clear instructions on the detection techniques and principles in terms of relevant operation parameters for scientists and graduate students are given.Detailed tables and diagrams will make this a very useful handbook for the application of these techniques in many different fields like physics, medicine, biology and other areas of natural science.

Tracking Environmental Change Using Lake Sediments

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Author : H. John B. Birks
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-06

Tracking Environmental Change Using Lake Sediments written by H. John B. Birks 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 2012-04-06 with Science categories.

Numerical and statistical methods have rapidly become part of a palaeolimnologist’s tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. Visit http://extras.springer.com the Springer's Extras website to view data-sets, figures, software, and R scripts used or mentioned in this book.

Tracking Environmental Change Using Lake Sediments

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Author : John B.H. Birks
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-08

Tracking Environmental Change Using Lake Sediments written by John B.H. Birks 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 2012-04-08 with Science categories.

Statistical Learning In Genetics

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Author : Daniel Sorensen
language : en
Publisher: Springer Nature
Release Date : 2023-09-19

Statistical Learning In Genetics written by Daniel Sorensen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Mathematics categories.

This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology have contributed to the emergence of vast data sets, where millions of genetic markers for each individual are coupled with medical records, generating an unparalleled resource for linking human genetic variation to human biology and disease. Similar developments have taken place in animal and plant breeding, where genetic marker information is combined with production traits. An important task for the statistical geneticist is to adapt, construct and implement models that can extract information from these large-scale data. An initial step is to understand the methodology that underlies the probability models and to learn the modern computer-intensive methods required for fitting these models. The objective of this book, suitable for readers who wish to develop analytic skills to perform genomic research, is to provide guidance to take this first step. This book is addressed to numerate biologists who typically lack the formal mathematical background of the professional statistician. For this reason, considerably more detail in explanations and derivations is offered. It is written in a concise style and examples are used profusely. A large proportion of the examples involve programming with the open-source package R. The R code needed to solve the exercises is provided. The MarkDown interface allows the students to implement the code on their own computer, contributing to a better understanding of the underlying theory. Part I presents methods of inference based on likelihood and Bayesian methods, including computational techniques for fitting likelihood and Bayesian models. Part II discusses prediction for continuous and binary data using both frequentist and Bayesian approaches. Some of the models used for prediction are also used for gene discovery. The challenge is to find promising genes without incurring a large proportion of false positive results. Therefore, Part II includes a detour on False Discovery Rate assuming frequentist and Bayesian perspectives. The last chapter of Part II provides an overview of a selected number of non-parametric methods. Part III consists of exercises and their solutions. Daniel Sorensen holds PhD and DSc degrees from the University of Edinburgh and is an elected Fellow of the American Statistical Association. He was professor of Statistical Genetics at Aarhus University where, at present, he is professor emeritus.

Introduction To Computer Intensive Methods Of Data Analysis In Biology

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