Applied biclustering methods for big and high-dimensional data using R

Applied biclustering methods for big and high-dimensional data using R

by Kasim, Adeyto

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Title Statements

  • Full title :Applied biclustering methods for big and high-dimensional data using R / edited by Adeyto 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

The Physical Object

  • Description:xxv, 401 pages : : illustrations ; : 25 cm

Edition Identifiers

  • ISBN:9781482208238, 1482208237, 9780367736859, 0367736853
  • oclc:ocn967532877
  • LC Classification:QA76.9.B45
  • Dewey Decimal:005.7

Subjects

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

Writers

Kasim, Adeyto

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