quantro
quantro is a software tool designed to address the challenge of normalization in analyzing high-throughput data, such as that generated by genomic studies. Traditional global normalization methods, like quantile normalization, aim to eliminate technical variation among samples but often operate under the assumption that all observed global changes are non-biological. This assumption poses the risk of inadvertently removing biologically meaningful variation, a critical concern for researchers.
To mitigate this risk, quantro offers a data-driven alternative that empowers users to make informed decisions about the appropriateness of applying global normalization methods to their specific datasets.
Topic
Sequence analysis
Detail
Operation: Statistical calculation
Software interface: Command-line user interface,Library
Language: R
License: The GNU General Public License v3.0
Cost: Free
Version name: 1.36.0
Credit: NIH.
Input: -
Output: -
Contact: Stephanie Hicks shicks19@jhu.edu
Collection: -
Maturity: Stable
Publications
- quantro: a data-driven approach to guide the choice of an appropriate normalization method.
- Hicks SC and Irizarry RA. quantro: a data-driven approach to guide the choice of an appropriate normalization method. quantro: a data-driven approach to guide the choice of an appropriate normalization method. 2015; 16:117. doi: 10.1186/s13059-015-0679-0
- https://doi.org/10.1186/s13059-015-0679-0
- PMID: 26040460
- PMC: PMC4495646
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/quantro_1.36.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/quantro/man/quantro.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/quantro.html
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