IQRray statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Meta-analysis chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

IQRray specifications


Unique identifier OMICS_02244
Name IQRray
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability No
Maintained No


Add your version

Publication for IQRray

IQRray in publications

PMCID: 5903354
PMID: 29664470
DOI: 10.1038/sdata.2018.66

[…] repository (data citation 1). the original data files are available via gene expression omnibus using the accession numbers listed in (available online only)., we evaluated each sample using the iqrray software, which produces a quality score for individual samples. using these metrics, we applied grubb’s statistical test (outliers package) to each dataset, identified poor-quality outliers […]

PMCID: 5082825
PMID: 27788162
DOI: 10.1371/journal.pone.0164590

[…] ( for all hgu133plus2.0 microarray data related to crc. data were revised to exclude instances of less than 10 cancerous and paracancerous samples per group. iqrray_score [] and presence/absence call [] were used to ensure the overall quality of microarray data and exclude any abnormal specimens. a platform called gatexplorer [] was used to analyze […]

To access a full list of publications, you will need to upgrade to our premium service.

IQRray institution(s)
Department of Ecology and Evolution, University of Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland

IQRray reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review IQRray