oppar

"oppar," featuring the modified Cancer Outlier Profile Analysis method (mCOPA), is a software tool designed to enhance cancer expression data analysis by identifying over-expressed and under-expressed outliers. This approach marks a significant advancement over the original COPA algorithm, limited to detecting only over-expressed outliers. The introduction of mCOPA addresses this limitation by refining the outlier detection process, making it a powerful resource for exploring expression datasets in cancer research.

Topic

Oncology;Genetics

Detail

  • Operation: Gene prediction

  • Software interface: Command-line user interface,Library

  • Language: R,Perl

  • License: GNU General Public License, version 2

  • Cost: Free

  • Version name: 1.30.0

  • Credit: The Australian Prostate Cancer Research Centre – Queensland and the Department of Health and Ageing, Commonwealth Government of Australia, and the Australian Research Council.

  • Input: -

  • Output: -

  • Contact: Soroor Hediyeh zadeh hediyehzadeh.s@wehi.edu.au

  • Collection: -

  • Maturity: Stable

Publications

  • mCOPA: analysis of heterogeneous features in cancer expression data.
  • Wang C, et al. mCOPA: analysis of heterogeneous features in cancer expression data. mCOPA: analysis of heterogeneous features in cancer expression data. 2012; 2:22. doi: 10.1186/2043-9113-2-22
  • https://doi.org/10.1186/2043-9113-2-22
  • PMID: 23216803
  • PMC: PMC3553066

Download and documentation

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