Modern statistics for modern biology /
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 figure...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
[2019]
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| Subjects: |
| 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. |
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| Physical Description: | xxiii, 382 pages : illustrations (some color) ; 28 cm. |
| Bibliography: | Includes bibliographical references (pages [367]-376) and index. |
| ISBN: | 1108705294 9781108705295 |