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Biology-constrained gene expression discretization for cancer classification

  • Published:2014-12 Issue: Volume:145 Page:30-36
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Wang Hong-Qiang,Jing Gao-Jian,Zheng Chunhou

Funder

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

K. C. Wong education foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference25 articles.

1. Quantitative monitoring of gene expression patterns with a complementary microarray;Schena;Science,1995

2. Computational methods for transcriptome annotation and quantification using RNA-seq;Garber;Nat. Methods,2011

3. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification;Nutt;Cancer Res.,2003

4. Discretization: an enabling technique;Liu;Data Min. Knowl. Discov.,2002

5. A survey of discretization techniques: taxonomy and empirical analysis in supervised learning;Garcıa;IEEE Trans. Knowl. Data Eng.,2013

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