Read Data Analysis Tools for DNA Microarrays by Sorin DrÃÂghici Online
* Data Analysis Tools for DNA Microarrays ↠ PDF Read by * Sorin DrÃÂghici eBook or Kindle ePUB Online free. Data Analysis Tools for DNA Microarrays "Very good book!" according to D.R.. I had to buy this book for a class, but I kept because it has very interesting information about basics of DNA microarrays but also data analysis. It is definitely very useful, I recommend.. Eric Wu said Introduction to Statistical Data Analysis of Microarrays. The targeted audience of this book is biologists who are eager to get an understanding of the analysis tools they use for microarrays. The book does an excellent job addressing this tier of audience.Th
Title | : | Data Analysis Tools for DNA Microarrays |
Author | : | |
Rating | : | 4.40 (592 Votes) |
Asin | : | 1584883154 |
Format Type | : | paperback |
Number of Pages | : | 512 Pages |
Publish Date | : | 2017-02-21 |
Language | : | English |
Anyone who uses microarray data should certainly own a copy.-Technometrics, Vol. The author lays out a study plan for the statistician that excludes 5 of the 17 chapters (4-8). These chapters present the basics of statistical distributions, estimation, hypothesis testing, ANOVA, and experimental design. -Journal of Statistical Computation and Simulation, Vol. The book by Draghici is an excellent choice to be used as a textbook for a graduate level bioinformatics course. 74I really like Draghici's book. What that leaves for the statistician is the three-chapter primer on microarrays and image processing, plus all of the data
It first presents the basics of microarray technology and more importantly, the specific problems the technology poses from the data analysis perspective. To reap real knowledge from the mountains of data produced, however, requires interdisciplinary skills-a background not only in biology but also in computer science and the tools and techniques of data analysis.To help meet the challenges of DNA research, Data Analysis Tools for DNA Microarrays builds the foundation in the statistics and data analysis tools needed by biologists and provides the overview of microarrays needed by computer scientists. The book is richly illustrated with more than 230 figures in full color and comes with a CD-ROM containing full-feature trial versions of software for image analysis (ImaGene, BioDiscovery Inc.) and da
"Very good book!" according to D.R.. I had to buy this book for a class, but I kept because it has very interesting information about basics of DNA microarrays but also data analysis. It is definitely very useful, I recommend.. Eric Wu said Introduction to Statistical Data Analysis of Microarrays. The targeted audience of this book is biologists who are eager to get an understanding of the analysis tools they use for microarrays. The book does an excellent job addressing this tier of audience.The book has plenty of examples. Almost all the examples, whether fake or real, are microarray-related. Whenever needed, figures or charts are . Far from superficial When entering the minefields of microarray data analysis, one has to understand and keep up with state-of-the-art technologies and interdisciplinary literatures. A background in molecular biology is clearly not enough to evaluate the pro and cons of the various statistical methods for selecting truly modulated candidate genes in a given exp
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