logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Methods Of Microarray Data Analysis Iii Papers From Camda 02 1st Edition Simon M Lin

  • SKU: BELL-2261042
Methods Of Microarray Data Analysis Iii Papers From Camda 02 1st Edition Simon M Lin
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Methods Of Microarray Data Analysis Iii Papers From Camda 02 1st Edition Simon M Lin instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 9.16 MB
Pages: 265
Author: Simon M. Lin, Kimberly F. Johnson
ISBN: 1402075820, 9781402075827
Language: English
Year: 2003
Edition: 1

Product desciption

Methods Of Microarray Data Analysis Iii Papers From Camda 02 1st Edition Simon M Lin by Simon M. Lin, Kimberly F. Johnson 1402075820, 9781402075827 instant download after payment.

As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microarray Data Analysis III is the third book in this pioneering series dedicated to the existing new field of microarrays. While initial techniques focused on classification exercises (volume I of this series), and later on pattern extraction (volume II of this series), this volume focuses on data quality issues. Problems such as background noise determination, analysis of variance, and errors in data handling are highlighted. Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA'02 datasets: the Project Normal data set or the Affymetrix Latin Square data set. A comparative study of these analytical methodologies brings to light problems, solutions and new ideas. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of art of microarray data analysis.

Related Products