High-dimensional Microarray Data Analysis Cancer Gene Diagnosis and Malignancy Indexes by Microarray /

This book shows how to decompose high-dimensional microarrays into small subspaces (Small Matryoshkas, SMs), statistically analyze them, and perform cancer gene diagnosis. The information is useful for genetic experts, anyone who analyzes genetic data, and students to use as practical textbooks. Dis...

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Bibliographic Details
Main Author: Shinmura, Shuichi (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 1 New Theory of Discriminant Analysis and Cancer Gene Analysis
  • 2 Overview of Cancer Gene Diagnosis by RIP and Revised LP-OLDF
  • 3 Cancer Gene Diagnosis of Alon Microarray
  • 4 Further Examinations of SMs---Defect of Revised LP-OLDF and Correlations of Genes
  • 5 Cancer Gene Diagnosis of Golub et al. Microarray
  • 6 Cancer Gene Diagnosis of Shipp et al. Microarray
  • 7 Cancer Gene Diagnosis of Singh et al. Microarray
  • 8 Cancer Gene Diagnosis of Tian et al. Microarray
  • 9 Cancer Gene Diagnosis of Chiaretti et al. Microarray
  • 10 LINGO Programs of Cancer Gene Analysis
  • Index.