OutlierD

The software tool OutlierD is an outlier detection program that addresses the issue of heterogeneity of variability in high-throughput data generated from mass spectrometry experiments. It utilizes linear, non-linear, and non-parametric quantile regression techniques and is developed using the R computer language, making it interactive and convenient to use in the R environment.

Topic

Sequencing;Nucleic acids

Detail

  • Operation: Regression analysis

  • Software interface: Command-line user interface;Library

  • Language: R

  • License: GNU General Public License v2

  • Cost: Free

  • Version name: 1.20.0

  • Credit: Korea Research Foundation, Frontier Project for Functional Proteomics

  • Input: -

  • Output: -

  • Contact: Sukwoo Kim s4kim@korea.ac.kr

  • Collection: -

  • Maturity: Stable

Publications

  • OutlierD: an R package for outlier detection using quantile regression on mass spectrometry data.
  • Cho H, et al. OutlierD: an R package for outlier detection using quantile regression on mass spectrometry data. OutlierD: an R package for outlier detection using quantile regression on mass spectrometry data. 2008; 24:882-4. doi: 10.1093/bioinformatics/btn012
  • https://doi.org/10.1093/bioinformatics/btn012
  • PMID: 18187441
  • PMC: -

Download and documentation

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