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The first discriminant theory of linearly separable datafrom exams and medical diagnoses with misclassifications to 169 microarrays for cancer gene diagnosis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The first discriminant theory of linearly separable databy Shuichi Shinmura.
Reminder of title:	from exams and medical diagnoses with misclassifications to 169 microarrays for cancer gene diagnosis /
Author:	Shinmura, Shuichi.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xxxi, 347 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Threshold logic.
Online resource:	https://doi.org/10.1007/978-981-99-9420-5
ISBN:	9789819994205$q(electronic bk.)

The first discriminant theory of linearly separable datafrom exams and medical diagnoses with misclassifications to 169 microarrays for cancer gene diagnosis /
Shinmura, Shuichi.

The first discriminant theory of linearly separable datafrom exams and medical diagnoses with misclassifications to 169 microarrays for cancer gene diagnosis /[electronic resource] :by Shuichi Shinmura. - Singapore :Springer Nature Singapore :2024. - xxxi, 347 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9789819994205$q(electronic bk.)

Standard No.: 10.1007/978-981-99-9420-5doiSubjects--Topical Terms:

976592
Threshold logic.

LC Class. No.: QA401

Dewey Class. No.: 511.3

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