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Connecting high-dimensional mRNA and miRNA expression data for binary medical classification problems

  • Published:2013-09 Issue:3 Volume:111 Page:592-601
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Fuchs Mathias,Beißbarth Tim,Wingender Edgar,Jung Klaus

Funder

Deutsche Forschungsgemeinschaft

European Regional Development Fund (ERDF)

Heart Research Center Göttingen (HRCG)

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference26 articles.

1. Effectiveness of gene expression profiling for response prediction of rectal adenocarcinomas to preoperative chemoradiotherapy;Ghadimi;Journal of Clinical Oncology,2005

2. A new sensitivity-preferred strategy to build prediction rules for therapy response of cancer patients using gene expression data;Jung;Computer Methods and Programs in Biomedicine,2010

3. Multiple hypothesis testing in microarray experiments;Dudoit;Bioinformatics,2003

4. Class prediction;Simon,2003

5. CMA: a comprehensive bioconductor package for supervised classification with high dimensional data;Slawski;BMC Bioinformatics,2008

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