Modern Statistics for Modern Biology

Modern Statistics for Modern Biology
ISBN-10
1108427022
ISBN-13
9781108427029
Pages
400
Language
English
Published
2018-11-30
Publisher
Cambridge University Press
Authors
Wolfgang Huber, SUSAN. HUBER HOLMES

Description

A far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation.

Get the book

Amazon.com
Amazon.com
Search the book
eBay.com
eBay.com
Search the book

Other editions

Similar books

  • Modern Statistics for Modern Biology
    By Susan Holmes, Huber, Wolfgang

    Modern Statistics for Modern Biology

  • Modern Issues and Methods in Biostatistics
    Modern Issues and Methods in Biostatistics
    By Mark Chang

    J. Biopharm. Stat. 19, 803–817 (2009) Szarfman, A., Machado, S., O'Neill, R.: Use of screening algorithms and computer ... J. Chem. Info. Model. 46,471–477 (2006) Wishart, D.S., Yang, R., Arndt, D., Tang, P., Cruz, J.: Dynamic cellular ...

  • Practical Statistics for Field Biology
    Practical Statistics for Field Biology
    By Jim Fowler, Lou Cohen, Phil Jarvis

    Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease.

  • The Fundamentals of Modern Statistical Genetics
    The Fundamentals of Modern Statistical Genetics
    By Christoph Lange, Nan M. Laird

    This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics.

  • Introduction to Statistics for Biology
    Introduction to Statistics for Biology
    By Trudy A. Watt, Robin H. McCleery, Tom Hart

    The correlation procedure is invoked in exactly the same way as for Pearson's correlation (Stat>Basic Statistics>Correlation); the only difference is that we specify the columns containing the ranks, not those with the original data.

  • Algebraic and Discrete Mathematical Methods for Modern Biology
    Algebraic and Discrete Mathematical Methods for Modern Biology
    By Raina Robeva

    This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for ...

  • Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics
    Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics
    By Michael Brimacombe

    This book emphasizes the importance of the likelihood function in statistical theory and applications and discusses it in the context of biology and ecology.

  • Practical Statistics for Environmental and Biological Scientists
    Practical Statistics for Environmental and Biological Scientists
    By John Townend

    Starting from basics, this book carefully introduces those statistical methods and techniques that all students and researchers need to know. Written in an accessible style, the book divides into two parts.

  • Analysis of Genetic Association Studies
    Analysis of Genetic Association Studies
    By Gang Zheng, Yaning Yang, Xiaofeng Zhu

    60, 335–405 (2008) Long, J.C., Williams, R.C., Urbanek, M.: An E-M algorithm and testing strategy for multiplelocus ... 37, 413–417 (2005) Martin, E.R., Kaplan, N.L., Weir, B.S.: Tests for linkage and association in nuclear families.

  • Modern Phylogenetic Comparative Methods and Their Application in Evolutionary Biology: Concepts and Practice
    Modern Phylogenetic Comparative Methods and Their Application in Evolutionary Biology: Concepts and Practice
    By László Zsolt Garamszegi

    Another value of the book are the accompanying online resources (available at: http://www.mpcm-evolution.com), where the authors post and permanently update practical materials to help embed methods into practice.