quantro specifications

Information


Unique identifier OMICS_08842
Name quantro
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.14.0
Stability Stable
Requirements
methods, RColorBrewer, BiocGenerics, Biobase, BiocStyle, ggplot2, RUnit, knitr, foreach, minfi, doParallel, iterators, R(>=3.1.3)
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Stephanie Hicks

Publication for quantro

quantro citations

 (2)
library_books

Tissue aware RNA Seq processing and normalization for heterogeneous and sparse data

2017
BMC Bioinformatics
PMCID: 5627434
PMID: 28974199
DOI: 10.1186/s12859-017-1847-x

[…] m independent.Programming language: R.Other requirements: Dependencies: Biobase. Imports: biomaRt, downloader, edgeR, gplots, graphics, limma, matrixStats, preprocessCore, readr, RColorBrewer, stats, quantro. Suggests: knitr, rmarkdown, testthat (> = 0.8).License: GPLv3.Any restrictions to use by non-academics: None. […]

library_books

Cross platform normalization of microarray and RNA seq data for machine learning applications

2016
PeerJ
PMCID: 4736986
PMID: 26844019
DOI: 10.7717/peerj.1621

[…] ta (). The distribution of expression values for each condition in the simulated data is shown with violin plots (), which display an appreciable level of variability both within and between classes. Quantro is a recently developed method for generating an F-score that represents the ratio of the within class variability to between class variability in the data () and is available as a package for […]

quantro institution(s)
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA

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