Guide to Analysis of DNA Microarray Data, 2nd Edition and Microarray Analysis Set
Book Title – Guide to Analysis of DNA Microarray Data, 2nd Edition and Microarray Analysis Set
Book Author Last Name – Schena
Total Number of Pages – 852
Book Description – Guide to Analysis of DNA Microarray Data, Second Edition Written for those without any advanced background in math, statistics, or computer sciences, this book is essential for anyone interested in using microarrays in biology and medicine. Microarray Analysis- Academic students, postdocs, professional scientists, engineers, lawyers, business people, doctors, nurses and clinicians
Topics Covered in this Book – Cell, Molecular Biology
Guide to Analysis of DNA Microarray Data, 2nd Edition and Microarray Analysis Set
IN STOCK
IN STOCK
The text provides an introduction to microarray technology, then moving on to image analysis, data analysis, cluster analysis, and beyond.
With all chapters rewritten, updated, and expanded to include the latest generation of technology and methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear, comprehensible style.
This Second Edition features entirely new chapters on:
* Image analysis
* Integrated analysis, and systems biology
* Experiment design
* Interpretation of results
* Automated analysis,
Intended for readers seeking practical applications, this text covers a broad spectrum of proven approaches in this rapidly growing technology.
Additional features include further reading suggestions for each chapter, as well as a thorough review of available analysis software.
With all chapters rewritten, updated, and expanded to include the latest generation of technology and methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear, comprehensible style.
This Second Edition features entirely new chapters on:
* Image analysis
* Integrated analysis, and systems biology
* Experiment design
* Interpretation of results
* Automated analysis,
Intended for readers seeking practical applications, this text covers a broad spectrum of proven approaches in this rapidly growing technology.
Additional features include further reading suggestions for each chapter, as well as a thorough review of available analysis software.
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