Applied biclustering methods for big and high-dimensional data using R / [edited by] Adeyto Kasim...[et al.].

Contributor(s):

Material type: Text

9781482208238 (alk. paper)

Subject(s):

DDC classification:

005.7 23 K19

Contents:

1. Introduction -- 2. From cluster analysis to biclustering -- I. Biclustering methods -- II. Case studies and applications -- III. R tools for Biclustering.

Summary: This 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.

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Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	ISI Library, Kolkata	005.7 K19 (Browse shelf(Opens below))	Available		138335

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Includes bibliographical references and index.

1. Introduction --
2. From cluster analysis to biclustering --
I. Biclustering methods --
II. Case studies and applications --
III. R tools for Biclustering.

This 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.

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