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[实际应用] Applied Biclustering Methods for Big and High-Dimensional Data Using R [推广有奖]

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chicu 在职认证  发表于 2017-1-18 23:51:40 |AI写论文

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Applied Biclustering Methods for Big and High-Dimensional Data Using R
  • Authors : Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen
  • Publisher:  Chapman and Hall, / the CRC (October 4, 2016)
  • Language:  English
  • ISBN - 10:  1482208237
  • ISBN - 13:  978-1482208238
Features
  • Presents novel methods and algorithms for biclustering analysis, such as the plaid algorithm, factor analysis for biclustering acquisition (FABIA), iterative signature algorithm (ISA), flexible overlapped biclustering (FLOC) algorithm, and ensemble methods for diagnostics
  • Introduces the new R package BiclustGUI
  • Explains how to implement the methods using several versatile R packages
  • Explores applications in drug development, biology, medicine, marketing, sports, and genetics
  • Develops biclustering applications for cloud computing, enabling users to replicate the analyses online without having to install R
  • Examples the Provides, R & lt Packages Standard Package, and More ON A supplementaryplanes Website

Visit the Facebook group Biclustering Using R at https://www.facebook.com/groups/581122485387144/.

Summary

Proven Methods for Big Data Analysis


AS Big Data has Become Standard in MANY file application Areas, Challenges have have arisen Related to Methodology and Software Development, Including How to the Discover Meaningful Patterns in at The VAST Amounts of Data. Addressing THESE Problems, an Applied Biclustering in Methods for Big and High-Dimensional the Data the Using R & lt 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 illustrated 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 analysis. The examples, software, and other materials are available on a supplementary website.

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yangming98(真实交易用户) 发表于 2017-1-19 21:16:49 来自手机
chicu 发表于 2017-1-18 23:51
Applied Biclustering Methods for Big and High-Dimensional Data Using R
  • Authors : Adetayo Ka ...
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    nieqiang110(真实交易用户) 学生认证  发表于 2017-1-20 19:19:02
    Applied Biclustering Methods for Big and High-Dimensional Data Using R

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