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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
BuchGebunden
347 Seiten
Englisch
Springererschienen am13.04.20242024
This book deals with the first discriminant theory of linearly separable data (LSD), Theory3, based on the four ordinary LSD of Theory1 and 169 microarrays (LSD) of Theory2. RIP discriminated 63 (=26â1) models of Swiss banknote (200*6) and found the minimum LSD: basic gene set (BGS).mehr
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Produkt

KlappentextThis book deals with the first discriminant theory of linearly separable data (LSD), Theory3, based on the four ordinary LSD of Theory1 and 169 microarrays (LSD) of Theory2. RIP discriminated 63 (=26â1) models of Swiss banknote (200*6) and found the minimum LSD: basic gene set (BGS).
Details
ISBN/GTIN978-981-99-9419-9
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2024
Erscheinungsdatum13.04.2024
Auflage2024
Seiten347 Seiten
SpracheEnglisch
Gewicht678 g
IllustrationenXXXI, 347 p. 104 illus., 87 illus. in color.
Artikel-Nr.55682790

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Schlagworte

Autor

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).