ROTS

ROTS (Reproducibility-Optimized Test Statistic) is a software tool that helps researchers select the optimal test statistic for identifying differentially expressed genes in microarray studies. The key features and advantages of ROTS are:

1. Data-driven approach: ROTS directly uses the given dataset to select the most suitable gene-ranking statistic without relying on prior assumptions that may bias the results.

2. Enhanced reproducibility-optimization procedure: The tool employs an improved method to optimize the reproducibility of the selected test statistic, ensuring consistent performance across various conditions.

3. Versatility: ROTS performs well in simulated and real-world datasets, including Affymetrix spike-in data and in-house cDNA microarray studies.

4. Extensibility: While primarily designed for detecting differential gene expression, the general reproducibility-optimization procedure used in ROTS can be adapted for many other applications.

Topic

Omics;Statistics and probability;Gene expression

Detail

  • Operation: Gene expression analysis;Statistical calculation

  • Software interface: Command-line user interface,Library

  • Language: R

  • License: GNU General Public License, version 2

  • Cost: Free

  • Version name: 1.32.0

  • Credit: -

  • Input: Gene expression data [Matrix format] [Textual format]

  • Output: Mathematical model [Textual format]

  • Contact: Tomi Suomi tomi.suomi@utu.fi

  • Collection: -

  • Maturity: Mature

Publications

  • Reproducibility-optimized test statistic for ranking genes in microarray studies.
  • Elo LL, et al. Reproducibility-optimized test statistic for ranking genes in microarray studies. IEEE/ACM Trans Comput Biol Bioinform 2008; 5:423-431. doi: 10.1109/tcbb.2007.1078
  • https://doi.org/10.1109/tcbb.2007.1078
  • PMID: 18670045
  • PMC: -

Download and documentation


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