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Geometric Morphometrics for Biologists is an introductory textbook for a course on geometric morphometrics, written for graduate students and upper division undergraduates, covering both theory of shape analysis and methods of multivariate analysis. It is designed for students with minimal math background; taking them from the process of data collection through basic and more advanced statistical analyses. Many examples are given, beginning with simple although realistic case-studies, through examples of complex analyses requiring several different kinds of methods. The book also includes URLs for free software and step-by-step instructions for using the software. * Accessible, student-tested introduction to sophisticated methods of biological shape analysis * Detailed instructions for conducting analyses with freely available, easy to use software * Numerous illustrations; including graphical presentations of important theoretical concepts and demonstrations of alternative approaches to presenting results * Many realistic examples, both simple and complex, from on-going research * Comprehensive glossary of technical terms.
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Biomathematics. Biometry. Biostatistics --- Human genetics --- Programming
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Nature protection --- Biomathematics. Biometry. Biostatistics --- Netherlands
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Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Human medicine
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Sociology of leisure --- Nature protection --- Biomathematics. Biometry. Biostatistics --- Netherlands
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Clinical Trials as Topic --- Statistics as Topic --- Biometry --- Drug Evaluation --- Epidemiologic Research Design. --- Biostatistics --- Evidence-Based Medicine. --- methods. --- statistics and numerical data. --- Epidemiologic Research Design --- Evidence-Based Medicine --- methods --- Biostatistics. --- Clinical Trials --- Controlled Clinical Trials --- Pragmatic Clinical Trials --- W20.55.C5 - Clinical trials --- statistics & numerical data.
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Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. This book is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data, from getting good data to obtaining meaningful results. Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.
Biomathematics. Biometry. Biostatistics --- Oligonucleotide Array Sequence Analysis --- Statistics --- DNA microarrays --- Puces à ADN --- methods --- Statistical methods. --- Méthodes statistiques --- Statistics as Topic --- DNA biochips --- Microarrays, DNA --- Biochips --- Immobilized nucleic acids --- Statistical methods
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