High-dimensional Microarray Data Analysis Cancer Gene Diagnosis and
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, an
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High-dimensional Microarray Data Analysis Cancer Gene Diagnosis and Malignancy Indexes by Microarray
High-dimensional Microarray Data Analysis
Shuichi Shinmura
High-dimensional Microarray Data Analysis Cancer Gene Diagnosis and Malignancy Indexes by Microarray
123
Shuichi Shinmura Emeritus Professor Seikei University Musashino, Tokyo, Japan
ISBN 978-981-13-5997-2 ISBN 978-981-13-5998-9 https://doi.org/10.1007/978-981-13-5998-9
(eBook)
Library of Congress Control Number: 2018966861 © Springer Nature Singapore Pte Ltd. 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
This book extends the possibility of a cancer gene diagnosis using many results. Medical researchers tried to identify oncogenes from genetic data such as microarrays since 1970, but they did not obtain precise results because the statistical discriminant analysis was useless for their research. In 2017, we explained our surprising results to Japanese genetic expert. He told us as follows: “After NIH reports microarrays are useless for cancer gene diagnosis, many researchers believe that this theme has ended. Therefore, you terminate your research.” I am regretful to start the study from 2015. If we could show our results before NIH’s report, we believe that microarray genetic diagnosis has contributed to cancer control at this time. Some statisticians focused on this research theme as a new field of “big or high-dimensional data analysis” which is different from a small sample (small n and small p data). However, they pointed out three excuses for the difficulty of research. Although it was easy to use highly reliable data collected by physicians, they did not obtain a definite result.
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