Applied Biclustering Methods for Big and High-Dimensional Data Using R - Couverture rigide

Couverture rigide

ISBN 10 : 1482208237 ISBN 13 : 9781482208238

Editeur : Chapman & Hall/CRC, 2016

Synopsis

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.

A propos du livre

À propos de l'auteur

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.

À propos de la quatrième de couverture

This book shows how to apply biclustering methods to find local patterns in a big data matrix. It 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. 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.

Détails de l'édition

• Éditeur: Chapman & Hall/CRC
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 1482208237
• ISBN 13: 9781482208238
• Reliure: Relié
• Nombre de pages: 401
• Éditeur: Kasim Adetayo, Shkedy Ziv, Kaiser Sebastian, Hochreiter Sepp, Talloen Willem
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne