Provides a data-driven solution to test the assumptions of global normalization methods. Group level information about each sample (such as tumor/normal status) must be provided because the test assesses if there are global differences in the distributions between the user-defined groups.

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quantro specifications

Software type:
Package
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Version:
quantro version 1.2.0
Requirements:
R (>= 3.1.3)

quantro support

Maintainer

Credits

Publications

  • (Hicks and Irizarry, 2015) quantro: a data-driven approach to guide the choice of an appropriate normalization method. Genome biology.
    PMID: 26040460

Institution(s)

Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02115-5450, USA; Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA

Link to literature

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