Description: Methods of Microarray Data Analysis by Simon M. Lin, Kimberly F. Johnson Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Publisher Description Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. 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. Author Biography Simon M. Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center. Kimberly F. Johnson is Director of Duke Cancer Center Information Systems and Director of Duke Bioinformatics Shared Resource, Duke University Medical Center. Details ISBN 0792375645 ISBN-13 9780792375647 Title Methods of Microarray Data Analysis Author Simon M. Lin, Kimberly F. Johnson Format Hardcover Year 2001 Pages 189 Edition 2002nd Publisher Springer GE_Item_ID:137662603; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 125.44 USD
Location: Fairfield, Ohio
End Time: 2024-12-24T03:15:19.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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ISBN-13: 9780792375647
Book Title: Methods of Microarray Data Analysis
Number of Pages: Xiv, 189 Pages
Language: English
Publication Name: Methods of Microarray Data Analysis
Publisher: Springer
Subject: Biostatistics, Life Sciences / Biochemistry, Life Sciences / Genetics & Genomics, Genetics
Publication Year: 2001
Item Weight: 18.4 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Science, Medical
Author: Kimberly F. Johnson
Item Width: 6.1 in
Format: Hardcover