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Rank aggregation

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Rank aggregation



21 May 2013 (Updated )

Summarizes ordered lists.

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Function aggregateRanks() deals with aggregation of ordered lists or rank matrix. It features robust methods for dealing with noisy input data.

Rank aggregation methods included:
  - minimum
  - mean
  - geometric mean
  - median
  - Stuart (Stuart et al., Aerts et al.)
  - Robust rank aggregation (Kolde et al.)

This is a Matlab implementation of the R package "RobustRankAggreg" written by Raivo Kolde.

Kolde, R., Laur, S., Adler, P., & Vilo, J. (2012).
Robust rank aggregation for gene list integration and meta-analysis. Bioinformatics (Oxford, England), 28(4), 573-580.

Stuart, J. M., Segal, E., Koller, D., & Kim, S. K. (2003).
A gene-coexpression network for global discovery of conserved genetic modules. Science (New York, N.Y.), 302(5643), 249-55.

Aerts, S., Lambrechts, D., Maity, S., Van Loo, P., Coessens, B., De Smet, F., Tranchevent, L.-C., et al. (2006). Gene prioritization through genomic data fusion. Nature biotechnology, 24(5), 537-44.

Required Products Statistics and Machine Learning Toolbox
MATLAB release MATLAB 7.14 (R2012a)
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12 Jun 2013 1.1

Corrected a spelling mistake in the file description.

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