000 | 01559nam a2200313 i 4500 | ||
---|---|---|---|
001 | BDZ0038490895 | ||
003 | StDuBDS | ||
005 | 20220721133027.0 | ||
008 | 181221s2019 enka f b 001|0|eng|d | ||
020 |
_a9781108705295 (pbk.) : _c£49.99 |
||
040 | _aStDuBDS | ||
050 | 4 | _aQH323.5 | |
072 | 7 |
_aSCI _2ukslc |
|
100 | 1 |
_aHolmes, Susan, _d1954- _eauthor. |
|
245 | 1 | 0 |
_aModern statistics for modern biology / _cSusan Holmes, Wolfgang Huber. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2019. |
|
300 |
_axxiii, 382 pages : _billustrations (black and white, and colour) ; _c28 cm |
||
336 |
_atext _2rdacontent |
||
336 |
_astill image _2rdacontent |
||
337 |
_aunmediated _2rdamedia |
||
338 |
_avolume _2rdacarrier |
||
504 | _aIncludes bibliographical references and index. | ||
520 | 8 | _aIf 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. | |
650 | 0 | _aBiometry. | |
650 | 7 | _aScience. | |
700 | 1 |
_aHuber, Wolfgang _c(Computational biologist), _eauthor. |
|
999 |
_c86268 _d86268 |