RobustRankAggreg statistics

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RobustRankAggreg specifications


Unique identifier OMICS_14405
Name RobustRankAggreg
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 1.1
Stability Stable
Source code URL
Maintained Yes



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  • person_outline Raivo Kolde <>

Publication for RobustRankAggreg

RobustRankAggreg in publications

PMCID: 5858852
PMID: 29588600
DOI: 10.2147/OTT.S152238

[…] approach. the integration and analysis of microarray data from several gene expression profiles may resolve these problems and enable the discovery of effective and reliable molecular markers. the robustrankaggreg (rra) approach has been specifically designed for the comparison of several ranked gene lists. the rra method uses a probabilistic model for aggregation that is robust to noise […]

PMCID: 5823624
PMID: 29507679
DOI: 10.18632/oncotarget.24070

[…] for upregulated genes and 10 for downregulated ones. to identify consistently deregulated genes, obtained rankings were subjected to robust rank aggregation analysis implemented in r package robustrankaggreg (v1.1) []. this analysis detects genes that are ranked consistently better than expected under the null hypothesis of uncorrelated inputs, and assigns a p-value as a significance […]

PMCID: 5662383
PMID: 29049217
DOI: 10.1097/MD.0000000000008261

[…] rate less than 0.05 were selected as the significantly degs., the degs from individual microarray data were merged and the overlap degs of the 3 microarray datasets were identified using the robustrankaggreg package[] in r statistical software. only the overlap degs were used for the integrated analysis. according to a nonparametric permutation test of the robustrankaggreg algorithm, […]

PMCID: 5606074
PMID: 28927412
DOI: 10.1186/s12957-017-1244-y

[…] we performed hierarchical cluster analysis. briefly, overall rank matrix was constructed according to rank matrixes generated from separate analyses for upregulated and downregulated gene with robustrankaggreg of r package. in the matrix, value 0.5 indicates that this mirna was not reported in that study, while value above 0.5 indicates that it is upregulated (one minus the normalized rank […]

PMCID: 5554221
PMID: 28955503
DOI: 10.1038/s41540-017-0024-1

[…] tfs were not activated until phase iv.fig. 1 , we evaluated the importance of each tf throughout the whole experiment and the different phases, by ranking tf according to their influence, with the robustrankaggreg r package . for each phase, tf influence was computed and ranked from positive to negative value as we considers that the regulator is active only when it activates its set […]

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RobustRankAggreg institution(s)
Institute of Computer Science, University of Tartu, Tartu, Estonia; Quretec, Tartu, Estonia; Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
RobustRankAggreg funding source(s)
This work was supported by Tiger University Program of the Estonian Information Technology Foundation; EU FP6 and FP7 projects ENFIN (LSHG-CT- 2005-518254); ESNATS (HEALTH-F5-2008-201619); European Regional Development Fund through the Estonian Centre of Excellence in Computer Science project and Estonian Science Foundation (ETF7437, CIESCI).

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