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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 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: The first discriminant theory of linearly separable data/ by Shuichi Shinmura.
    其他題名: from exams and medical diagnoses with misclassifications to 169 microarrays for cancer gene diagnosis /
    作者: Shinmura, Shuichi.
    出版者: Singapore :Springer Nature Singapore : : 2024.,
    面頁冊數: xxxi, 347 p. :ill. (some col.), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Threshold logic. -
    電子資源: https://doi.org/10.1007/978-981-99-9420-5
    ISBN: 9789819994205
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