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