Read Statistical Bioinformatics: with R by Sunil K. Mathur Online
* Read # Statistical Bioinformatics: with R by Sunil K. Mathur · eBook or Kindle ePUB. Statistical Bioinformatics: with R The inclusion of R 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. Ancillary list: * Online ISM- textbooks.elsevier/web/manualspx?isbn=9780123751041 * Companion Website w/ R code and Ebook- textbooks.elsevier/web/manualspx?isbn=9780123751041 * Powerpoint slides- textbooks.elsevier/web/Manualspx?isbn=9780123751041Integrates biological, statistical and computati
| Title | : | Statistical Bioinformatics: with R |
| Author | : | |
| Rating | : | 4.78 (744 Votes) |
| Asin | : | 0123751047 |
| Format Type | : | paperback |
| Number of Pages | : | 336 Pages |
| Publish Date | : | 2017-11-25 |
| Language | : | English |
The inclusion of R 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. Ancillary list: * Online ISM- textbooks.elsevier/web/manualspx?isbn=9780123751041 * Companion Website w/ R code and Ebook- textbooks.elsevier/web/manualspx?isbn=9780123751041 * Powerpoint slides- textbooks.elsevier/web/Manualspx?isbn=9780123751041Integrates biological, statistical and computational conceptsInclusion of R & SAS codeProvides coverage of complex statistical methods in context with applications in bioinformaticsExercises and examples aid teaching and learning presented at the right levelBayesian methods and the modern multiple testing principles in one convenient book. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory
A statistics textbook masquerading as a statistical bioinformatics textbook, forget about R Jeremy Leipzig This is a statistics and probability textbook with some of the author's limited exposure to bioinformatics thrown in - the bioinformatics material is absurdly narrow in scope and most of the R code might as well be omitted it is so worthless.The treatment of statistics is decent - a thorough overview of probability, distributions, inference, and Bayesian statistics is presented. There are so ma. a disappointing book I would like to learn more of statistical bioinformatics and R programming and therefore expected this book to be published. Unfortunately, reading this book turned to be a disappointing experience. First of all, the presentation is pretty uneven: a lot of things are very basic, whereas some mathematics is much more difficult and requires good math training. Second, R programming is not at all . Sidd said Useful book. I find this book useful as it takes broad view of bioinformatics applications and development of advanced methodology including Bayesian and Markov models. This book also includes variety of applications in different biomedical and genomic areas, including sequence analysis, location of recombinant breakpoints, complex designs, gene clustering and microarray.The language of book is lucid and qu
"Students and biologists who want to specialize in the fast-paced field of bioinformatics should read this book. However, in its entirety, this is a very useful, clearly written introduction to statistical bioinformatics with R. 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. It contains many real examples, and would be a help to those starting out in the field."--Computing Reviews
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