RobustRankAggreg: Methods for robust rank aggregation

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Methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation (Kolde et. al in preparation) and some other simple algorithms for the task. RRA method uses a probabilistic model for aggregation that is robust to noise and also facilitates the calculation of significance probabilities for all the elements in the final ranking.

Author
Raivo Kolde, Sven Laur
Date of publication
2013-06-03 17:47:53
Maintainer
Raivo Kolde <rkolde@gmail.com>
License
GPL-2
Version
1.1

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Man pages

aggregateRanks
Aggregate ranked lists
betaScores
Calculate beta scores
cellCycleKO
A dataset based on Reimand _et al_ and Hu _et al_. It...
rankMatrix
Create rank matrix
rhoScores
Calculate rho scores

Files in this package

RobustRankAggreg
RobustRankAggreg/MD5
RobustRankAggreg/man
RobustRankAggreg/man/rhoScores.Rd
RobustRankAggreg/man/rankMatrix.Rd
RobustRankAggreg/man/cellCycleKO.Rd
RobustRankAggreg/man/betaScores.Rd
RobustRankAggreg/man/aggregateRanks.Rd
RobustRankAggreg/data
RobustRankAggreg/data/cellCycleKO.RData
RobustRankAggreg/R
RobustRankAggreg/R/aggregateRanks.R
RobustRankAggreg/NAMESPACE
RobustRankAggreg/DESCRIPTION