CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization-Reference-Cited by-同舟云学术

CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization

Published:2017-06-12 Issue:19 Volume:33 Page:3131-3133
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Xu Taosheng¹,Le Thuc Duy²³,Liu Lin²,Su Ning¹,Wang Rujing¹,Sun Bingyu¹,Colaprico Antonio⁴⁵,Bontempi Gianluca⁴⁵,Li Jiuyong²

Affiliation:

1. Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China

2. School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, SA, Australia

3. Centre for Cancer Biology, University of South Australia, Adelaide, SA, Australia

4. Interuniversity Institute of Bioinformatics in Brussels (IB)2, Université Libre de Bruxelles (ULB), Brussels, Belgium

5. Machine Learning Group (MLG), Department d’Informatique, Université Libre de Bruxelles (ULB), Brussels, Belgium

Funder

Australian Research Council

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/19/3131/25164758/btx378.pdf

Reference8 articles.

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4. Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data;Monti;Mach. Learn,2003

5. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis;Rousseeuw;J. Comput. Appl. Math,1987

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