Statistical Bioinformatics with R
Mathur, Sunil K.
Venduto da Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
Venditore AbeBooks dal 28 aprile 2005
Usato - Rilegato
Condizione: Usato - Buono
Quantità: 1 disponibili
Aggiungere al carrelloVenduto da Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
Venditore AbeBooks dal 28 aprile 2005
Condizione: Usato - Buono
Quantità: 1 disponibili
Aggiungere al carrelloYour purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, and may have sticker on cover, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Codice articolo Z1-C-018-01975
Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications.
Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject – not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications.
The inclusion of R & SAS code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics.
"Students and biologists who want to specialize in the fast-paced field of bioinformatics should read this book. Mathur brings together a comprehensive and very practical view of the field. He combines sufficient mathematical proofs with hints and suggestions, and provides many real examples taken directly from the genetics, proteomics, and molecular biology fields...Many other bioinformatics topics--for example, clustering algorithms, specialized R packages, or the challenges of analyzing mass-spectrometry data--are only alluded to and not covered fully in the book. However, in its entirety, this is a very useful, clearly written introduction to statistical bioinformatics with R. It contains many real examples, and would be a help to those starting out in the field."--Computing Reviews.com
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