Modern statistics for modern biology / Susan Holmes, Wolfgang Huber.
Publisher: Cambridge : Cambridge University Press, 2019Description: xxiii, 382 pages : illustrations (black and white, and colour) ; 28 cmContent type:- text
- still image
- unmediated
- volume
- 9781108705295 (pbk.) :
- QH323.5
| Item type | Home library | Class number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| 2 week loan | Hockney Library Main Floor | 570.15195/HOL (Browse shelf(Opens below)) | Available | 7412326909 | ||
| 2 week loan | Hockney Library Main Floor | 570.15195/HOL (Browse shelf(Opens below)) | Available | 7412326917 |
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| 570.151/PEN Maths skills for A level biology / | 570.151/PEN Maths skills for A level biology / | 570.151/PEN Maths skills for A level biology / | 570.15195/HOL Modern statistics for modern biology / | 570.15195/HOL Modern statistics for modern biology / | 570.712/BIO Teaching secondary biology. | 570.71241/ASE Teaching secondary biology. |
Includes bibliographical references and index.
If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is the book for you. 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.
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