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  1. Bog
  2. Matematik
  3. Sandsynlighedsregning og statistik

Modern Statistics for Modern Biology

Af: Susan Holmes, Wolfgang Huber Engelsk Paperback

Modern Statistics for Modern Biology

Af: Susan Holmes, Wolfgang Huber Engelsk Paperback
Tjek vores konkurrenters priser
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. It covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component analysis and multidimensional scaling, clustering, multiple testing, unsupervised and supervised learning, resampling, the pitfalls of experimental design, and power simulations using Monte Carlo, and it even reaches networks, trees, spatial statistics, image data, and microbial ecology. Using a minimum of mathematical notation, it builds understanding from well-chosen examples, simulation, visualization, and above all hands-on interaction with data and code.
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Tjek vores konkurrenters priser
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. It covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component analysis and multidimensional scaling, clustering, multiple testing, unsupervised and supervised learning, resampling, the pitfalls of experimental design, and power simulations using Monte Carlo, and it even reaches networks, trees, spatial statistics, image data, and microbial ecology. Using a minimum of mathematical notation, it builds understanding from well-chosen examples, simulation, visualization, and above all hands-on interaction with data and code.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 402
ISBN-13: 9781108705295
Indbinding: Paperback
Udgave:
ISBN-10: 1108705294
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 28 feb 2019
Længde: 16mm
Bredde: 218mm
Højde: 279mm
Forlag: Cambridge University Press
Oplagsdato: 28 feb 2019
Forfatter(e): Susan Holmes, Wolfgang Huber
Forfatter(e) Susan Holmes, Wolfgang Huber

Kategori Sandsynlighedsregning og statistik

ISBN-13 9781108705295

Sprog Engelsk

Indbinding Paperback

Sider 402

Udgave

Længde 16mm

Bredde 218mm

Højde 279mm

Udg. Dato 28 feb 2019

Oplagsdato 28 feb 2019

Forlag Cambridge University Press

Kategori sammenhænge