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
Documentation: https://bioconductor.org/packages/3.10/bioc//manuals/ROTS/man/ROTS.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/ROTS.html
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