Modern statistics for modern biology / Susan Holmes, Stanford University, California, Wolfgang Huber, European Molecular Biology Laboratory.

Format:

Book

Author/Creator:

Holmes, Susan, 1954- author.

Huber, Wolfgang, author.

Language:

English

Subjects (All):

Biometry.

Biomathematics.

Physical Description:

xxiii, 382 pages : illustrations (some color) ; 28 cm

Place of Publication:

Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019.

Summary:

"If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. You can visualize and analyze your own data, apply unsupervised and supervised learning, integrate datasets, apply hypothesis testing, and make publication-quality figures using the power of R/Bioconductor and ggplot2. This book will teach you "cooking from scratch," from raw data to beautiful illuminating output, as you learn to write your own scripts in the R language and to use advanced statistics packages from CRAN and Bioconductor."--back cover

Contents:

Generative models for discrete data

Statistical modeling

High-quality graphics in R

Mixture models

Clustering

Testing

Multivariate analysis

High-throughput count data

Multivariate methods for heterogeneous data

Networks and trees

Image data

Supervised learning

Design of high-throughput experiments and their analyses.

Notes:

Includes bibliographical references (pages 367-376) and index.

ISBN:

1108705294

9781108705295

OCLC:

1076548434