Susan Holmes, Wolfgang Huber

Broschiertes Buch

Modern Statistics for Modern Biology

Beschreibung

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.

Autor

Susan Holmes is Professor of Statistics at Stanford University, California. She specializes in exploring and visualizing multidomain biological data, using computational statistics to draw inferences in microbiology, immunology and cancer biology. She has published over 100 research papers, and has been a key developer of software for the multivariate analyses of complex heterogeneous data. She was the Breiman Lecturer at NIPS 2016, has been named a Fields Institute fellow, and is currently a fellow at the Center for the Advances Study of the Behavioral Sciences.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 408
• Erscheinungstermin: 28. Februar 2019
• Englisch
• Abmessung: 280mm x 216mm x 22mm
• Gewicht: 1140g
• ISBN-13: 9781108705295
• ISBN-10: 1108705294
• Artikelnr.: 55960415

Rezensionen

'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