Textbooks

HIGHLIGHT

TEXTBOOK

Modern Statistics for Modern Biology

Susan Holmes

Stanford University, California

and Wolfgang Huber

European Molecular Biology Laboratory Designed for a new generation of biologists, this textbook teaches modern computational statistics by using R/Bioconductor to analyze experimental data from high-throughput technologies. The presentation minimizes mathematical notation and emphasizes inductive understanding from well-chosen examples, hands-on simulation, and visualization.

‘This is a gorgeous book, both visually and intellectually, superbly suited for anyone who wants to learn the nuts and bolts of modern computational biology. It can also be a practical, hands-on starting point for life scientists and students who want to break out of ‘canned packages’ into the more versatile world of R coding. Much richer than the typical statistics textbook, it covers a wide range of topics in machine learning and image processing. The chapter on making high-quality graphics is alone worth the price of the book.’

William H. Press, University of Texas, Austin

‘The book is a timely, comprehensive and practical reference for anyone working with modern quantitative biotechnologies. It can be read at multiple levels. For scientists with a statistics background, it is a thorough review of key methods for design and analysis of high-throughput experiments. For life scientists with a limited exposure to statistics, it offers a series of examples with relevant data and R code. Avoiding buzzwords and hype, the book advocates appropriate statistical practice for reproducible research. I expect it to be as influential for the life sciences community as Modern Applied Statistics with S, by Venables and Ripley or Introduction to Statistical Learning, by James, Witten, Hastie and Tibshirani are for applied statistics.’

Olga Vitek, Northeastern University, Boston

2019 276 x 216 mm 402pp 978-1-108-70529-5 Paperback £49.99 / US$64.99 For all formats available, see www.cambridge.org/9781108705295

TEXTBOOK

Quantitative Genetics

Armando Caballero

Universidade de Vigo, Spain This accessible and up-to-date text uses applied examples and model problems to enhance students’ understanding of the concepts and applications of quantitative genetics. It provides the most current and in-depth view of the field for researchers and professionals in genetics, genomics, plant and animal breeding, and conservation science.

‘Quantitative genetics as a scientific discipline isn’t dead just yet, despite predictions of its demise over many decades. In fact, it is very much alive in the genomics era, across a wide range of disciplines, including plant and animal breeding, evolutionary genetics and human (medical) genetics. Armando Caballero’s timely textbook, a translation and update from his Spanish version, combines a description of the theory and methods underlying quantitative trait variation in populations with data examples and applications from modern genome technologies. It is an excellent introduction to the field, and demonstrates once again how population and quantitative genetics theory has stood the test of time and is highly relevant today.’

Peter M. Visscher, University of Queensland

‘Armando Caballero’s work is a masterful tour through both evolutionary and applied quantitative genetics. It provides a fruitful and unusual blend of population and quantitative genetics, and it will be extremely useful for anyone who wants to learn more about either of these fields.’

Michael Whitlock, University of British Columbia

2020 244 x 170 mm 338pp 101 b/w illus. 43 tables 978-1-108-48141-0 Hardback £74.99 / US$99.99 978-1-108-72235-3 Paperback £29.99 / US$38.99 For all formats available, see www.cambridge.org/9781108481410

TEXTBOOK

Cellular Biophysics and Modeling A Primer on the Computational Biology of Excitable Cells

Greg Conradi Smith

College of William and Mary, Virginia An integrated guide to cellular biophysics and nonlinear dynamics, introducing students to the mathematical modeling of excitable cells. It combines empirical physiology and mathematical theory to present key interdisciplinary tools, highlighting how quantitative approaches can complement and advance bench research. Contents: Part I. Models and Odes; Part II. Passive Membranes; Part III. Voltage-Gated Currents; Part IV. Excitability and Phase Planes; Part V. Oscillations and Bursting.

‘In this text, Conradi Smith does an excellent job of teaching students with no mathematical training beyond calculus how to use differential equations to understand the basic principles of cell physiology and excitability. He skilfully walks students through the steps of modeling and analysis, all the while working to develop intuition and insight into how things work. His emphasis on computational methods for solution as well as graphical and geometrical means for interpretation enables him to communicate complex ideas in understandable ways. Furthermore, his patience and attention to detail will be appreciated by those students who have not had extensive exposure to the art of mathematical modeling. This text is a wonderful addition to the mathematical biology textbook literature.’

James P. Keener, University of Utah

2019 247 x 174 mm 394pp 21 b/w illus. 248 colour illus. 6 tables 978-1-107-00536-5 Hardback £94.99 / US$125.00 978-0-521-18305-5 Paperback £38.99 / US$49.99 For all formats available, see www.cambridge.org/9781107005365

TEXTBOOK

Analyzing Network Data in Biology and Medicine An Interdisciplinary Textbook for Biological, Medical and Computational Scientists

Edited by Nataša Pržulj

University College London and Barcelona Supercomputing Center Bringing together leading experts in the field of network data analysis, this text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning. Using real-world biological and medical examples, applications of these theories are discussed and creative thinking is encouraged in the analysis of such complex network data sets. 2019 247 x 174 mm 643pp 196 b/w illus. 42 tables 978-1-108-43223-8 Paperback £39.99 / US$49.99 For all formats available, see www.cambridge.org/9781108432238