Applied Biclustering Methods for Big and High-Dimensional Data Using R
Language: English
Published by CRC Press, 2016
- Hardcover
- New
Condition: New
£ 191.51
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Adetayo Kasim is a senior research statistician at Durham University.Ziv Shkedy is a professor in the Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat) in the Center for Statistics at the Unive.
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- Title
- Applied Biclustering Methods for Big and High-Dimensional Data Using R
- Author
- Kasim, Adetayo
- Publisher
- CRC Press
- Publication year
- 2016
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1482208237
- ISBN 13
- 9781482208238
- Series
- Book 74 of 155: Chapman & Hall/CRC Biostatistics
Proven Methods for Big Data Analysis
As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix.
The book presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. References to technical details of the methods are provided for readers who wish to investigate the full theoretical background. All the methods are accompanied with R examples that show how to conduct the analyses. The examples, software, and other materials are available on a supplementary website.
"Synopsis" may belong to another edition of this title.
About the Author
Adetayo Kasim is a senior research statistician at Durham University.
Ziv Shkedy is a professor in the Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat) in the Center for Statistics at the University of Hasselt.
Sebastian Kaiser is a professor in the Department of Statistics in the Faculty of Mathematics, Informatics and Statistics at Ludwig-Maximilians University of Munich.
Sepp Hochreiter is a professor and head of the Institute of Bioinformatics at Johannes Kepler University Linz.
Willem Talloen is a principal statistician at the Janssen Pharmaceutical Companies of Johnson & Johnson.
"About the title" may belong to another edition of this title.
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