The First Discriminant Theory of Linearly Separable Data: From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis
Author:   Shuichi Shinmura
Publisher:   Springer Verlag, Singapore
ISBN:  

9789819994229


Pages:   347
Publication Date:   01 May 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $388.10 Quantity:  
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The First Discriminant Theory of Linearly Separable Data: From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis


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Author:   Shuichi Shinmura
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819994229


ISBN 10:   9819994225
Pages:   347
Publication Date:   01 May 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

The most important knowledge by 27 Revolutionary Findings and the Outlook of this book.- LINGO Programs Usage and New Facts by Iris Data.- Swiss banknote data and CPD data.- Test Pass/Fail Judgment and Japanese Compact Cars and Regular Cars.- First Theory of Cancer Gene Data Analysis by 169 Microarrays: Four Universal Data Structures of Discriminant Data.- Three Important Studies for Cancer Gene Diagnosis.- Two-Step Practical Screening Method for Cancer Gene Diagnoses: Multivariate Oncogenes among 169 Microarrays.

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Shuichi Shinmura is Emeritus Professor in Seikei University, Tokyo. His publication includes ""High-dimensional Microarray Data Analysis: Cancer Gene Diagnosis and Malignancy Indexes by Microarray"" (Springer Nature 2019) and ""New Theory of Discriminant Analysis After R. Fisher: Advanced Research by the Feature Selection Method for Microarray Data"" (Springer 2017).

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