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RobustRankAggreg (version 1.2.1)

Methods for Robust Rank Aggregation

Description

Methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation Kolde et al (2012) 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.

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Version

Install

install.packages('RobustRankAggreg')

Monthly Downloads

847

Version

1.2.1

License

GPL-2

Maintainer

Last Published

October 3rd, 2022

Functions in RobustRankAggreg (1.2.1)

rankMatrix

Create rank matrix
aggregateRanks

Aggregate ranked lists
betaScores

Calculate beta scores
rhoScores

Calculate rho scores
cellCycleKO

A dataset based on Reimand et al and Hu et al.