Author: Norman R. Drinkwater
Edition:
Publisher: CreateSpace Independent Publishing Platform
Binding: Paperback
ISBN: 1467957909
Statistical Problems in Genetics and Molecular Biology
This book evolved from the notes for a course of the same title that we’ve taught for the last eighteen years at the University of Wisconsin to graduate students in cancer biology, genetics, molecular biology, and other biomedical programs. Medical books Statistical Problems in Genetics and Molecular Biology. We concentrate on a class of statistical methods, so-called nonparametric statistics, which requires us to make very few assumptions regarding the model that gives rise to the data Medical books Statistical Problems In Genetics And Molecular Biology. New Paperback.
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Focusing on problems in contemporary genetics and molecular biology, this text describes basic statistical methods used in genetics. It covers cluster analysis, combinatorial optimization, and dynamic programming, along with the core topics of genome mapping, biological sequence analysis, and the analysis of gene expression arrays. The author also explores Bayesian approaches, such as hidden Markov models and block motif methods, as well as modern tools of Bayesian analysis, including Markov chain Monte Carlo (MCMC). The text features a number of worked examples and problem sets at the end of
"Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments. The text introduces a diverse set of problems and a number of approaches that have been used to address these problems. It discusses basic molecular biology and likelihood-based statistics, along with physical mapping, markers, linkage analysis, pa
"Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments. The text introduces a diverse set of problems and a number of approaches that have been used to address these problems. It discusses basic molecular biology and likelihood-based statistics, along with physical mapping, markers, linkage analysis, pa
Medical Book Statistical Problems in Genetics and Molecular Biology
We concentrate on a class of statistical methods, so-called nonparametric statistics, which requires us to make very few assumptions regarding the model that gives rise to the data. These methods are also attractive because they are usually simple to apply and have considerable intuitive appeal.
