Description: High-dimensional Microarray Data Analysis by Shuichi Shinmura Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book shows how to decompose high-dimensional microarrays into small subspaces (Small Matryoshkas, SMs), statistically analyze them, and perform cancer gene diagnosis. Publisher Description This book shows how to decompose high-dimensional microarrays into small subspaces (Small Matryoshkas, SMs), statistically analyze them, and perform cancer gene diagnosis. The information is useful for genetic experts, anyone who analyzes genetic data, and students to use as practical textbooks.Discriminant analysis is the best approach for microarray consisting of normal and cancer classes. Microarrays are linearly separable data (LSD, Fact 3). However, because most linear discriminant function (LDF) cannot discriminate LSD theoretically and error rates are high, no one had discovered Fact 3 until now. Hard-margin SVM (H-SVM) and Revised IP-OLDF (RIP) can find Fact3 easily. LSD has the Matryoshka structure and is easily decomposed into many SMs (Fact 4). Because all SMs are small samples and LSD, statistical methods analyze SMs easily. However, useful results cannot be obtained. On the other hand, H-SVM and RIP can discriminate two classes in SM entirely. RatioSV is the ratioof SV distance and discriminant range. The maximum RatioSVs of six microarrays is over 11.67%. This fact shows that SV separates two classes by window width (11.67%). Such easy discrimination has been unresolved since 1970. The reason is revealed by facts presented here, so this book can be read and enjoyed like a mystery novel.Many studies point out that it is difficult to separate signal and noise in a high-dimensional gene space. However, the definition of the signal is not clear. Convincing evidence is presented that LSD is a signal. Statistical analysis of the genes contained in the SM cannot provide useful information, but it shows that the discriminant score (DS) discriminated by RIP or H-SVM is easily LSD. For example, the Alon microarray has 2,000 genes which can be divided into 66 SMs. If 66 DSs are used as variables, the result is a 66-dimensional data. These signal data can be analyzed to find malignancy indicators by principal component analysis and cluster analysis. Author Biography Shuichi Shinmura, Seikei University Details ISBN 9811359970 ISBN-13 9789811359972 Title High-dimensional Microarray Data Analysis Author Shuichi Shinmura Format Hardcover Year 2019 Pages 419 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:140573242; 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: 157.72 USD
Location: Fairfield, Ohio
End Time: 2025-01-26T03:40:23.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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ISBN-13: 9789811359972
Book Title: High-dimensional Microarray Data Analysis
Number of Pages: Xxv, 419 Pages
Publication Name: High-Dimensinal Microarrays Data Analysis : Cancer Gene Diagnosis and Malignancy Indexes by Microarray
Language: English
Publisher: Springer
Subject: Biostatistics, Probability & Statistics / General, Statistics
Publication Year: 2019
Item Weight: 29.4 Oz
Type: Textbook
Subject Area: Mathematics, Social Science, Medical
Item Length: 9.3 in
Author: Shuichi Shinmura
Item Width: 6.1 in
Format: Hardcover