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Read ! Methods of Microarray Data Analysis II: Papers from CAMDA '01 PDF by # Springer eBook or Kindle ePUB Online free. Methods of Microarray Data Analysis II: Papers from CAMDA '01 Great Book, but Worth $? This book was very helpful to learn updated statistical methods to analyze microarray data, but I wanted a little more of thorough explanation and algorithm details for each method. I felt this was a bit too expensive for the content. I would not recommend to people who do not have basic understanding of a variety of clustering and classification techniques.]

Methods of Microarray Data Analysis II: Papers from CAMDA '01

Title : Methods of Microarray Data Analysis II: Papers from CAMDA '01
Author :
Rating : 4.64 (689 Votes)
Asin : 1402071116
Format Type : paperback
Number of Pages : 214 Pages
Publish Date : 2013-11-14
Language : English

Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. Currently, there are no standard procedures for the design and analysis of microarray experiments. In addition, web links are provided to the programs and tools discussed in several chapters. Because microarray

. Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center. About the AuthorSimon M. Kimberly F. Johnson is Director of Duke Cancer Center Information Systems and Director of Duke Bioinformatics Shared Resource, Duke University Medical Center

Great Book, but Worth $? This book was very helpful to learn updated statistical methods to analyze microarray data, but I wanted a little more of thorough explanation and algorithm details for each method. I felt this was a bit too expensive for the content. I would not recommend to people who do not have basic understanding of a variety of clustering and classification techniques.

Johnson
is Director of Duke Cancer Center Information Systems and Director of Duke Bioinformatics Shared Resource, Duke University Medical Center. Simon M. . Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center. Kimberly F

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