The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis /

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. Furthermore, you can quickly analyze the medical data with the misclassified patients which is the true purpose of diagnoses....

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Hlavní autor:	Shinmura, Shuichi (Autor)
Korporativní autor:	SpringerLink (Online service)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Vydání:	1st ed. 2024.
Témata:	Statistics . Biometry. Diagnosis. Cancer > Genetic aspects. Quantitative research. Mathematical optimization. Statistical Theory and Methods. Biostatistics. Cancer Genetics and Genomics. Data Analysis and Big Data. Discrete Optimization.
On-line přístup:	https://doi.org/10.1007/978-981-99-9420-5
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!