Applied biclustering methods for big and high dimensional data using R

Applied biclustering methods for big and high dimensional data using R

by Hochreiter, Sepp Kaiser, Sebastian Kasim, Adeyto Shkedy, Ziv Talloen, Willem

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Title Statements

  • Full title :Applied biclustering methods for big and high dimensional data using R / edited by Adetayo Kasim, Durham University United Kingdom ; Ziv Shkedy, Hasselt University Diepenbeek, Belgium ; Sebastian Kaiser, Ludwig Maximilian Universität Munich, Germany ; Sepp Hochreiter, Johannes Kepler University Linz Austria ; Willem Talloen, Janssen Pharmaceuticals Beerse, Belgium.

Edition Statements

  • Publication Date:©2017

Publication Statements

  • Publisher(s):CRC Press
  • Place of Publication:Boca Raton
  • Language:eng
  • Publication Date:©2017

Notes

"A Chapman & Hall book."

The Physical Object

  • Description:1 online resource : : text file, PDF

Edition Identifiers

  • ISBN:9781315373966, 1315373963, 9781482208245, 1482208245
  • oclc:ocn966374431
  • LC Classification:QA76.9.B45
  • Dewey Decimal:005.7

Table of Contents

I. Biclustering methods -- II. Case studies and applications -- III. R tools for biclustering.

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Subjects

Big data Cluster set theory Données volumineuses R (Computer program language) R (Langage de programmation) Théorie des ensembles amas

Writers

Hochreiter, Sepp Kaiser, Sebastian Kasim, Adeyto Shkedy, Ziv Talloen, Willem

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