Description Usage Format Source Examples
This dataset contains five lists of genes, each of size 25, from five independent microarray studies on prostate cancer. The lists are given in Table 4 in the manuscript by DeConde et al. Lists form the rows of the dataset with columns corresponding to the ranks of genes in each individual study.
1 |
A matrix of size 5 by 25 containing 5 lists of genes.
R. DeConde, S. Hawley, S. Falcon, N. Clegg, B. Knudsen, and R. Etzioni. Combining results of microarray experiments: a rank aggregation approach. Stat Appl Genet Mol Biol, 5(1):Article15, 2006.
1 2 3 | data(geneLists)
topList <- RankAggreg(geneLists, 5, N=700, seed=100, convIn=3)
plot(topList)
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Iteration 1 : Optimal value: 12.4
Optimal List: HPN,AMACR,SLC25A6,GDF15,SAT
Iteration 2 : Optimal value: 12
Optimal List: HPN,AMACR,FASN,GDF15,ATF5
Iteration 3 : Optimal value: 12
Optimal List: HPN,AMACR,FASN,SLC25A6,NME2
Iteration 4 : Optimal value: 12
Optimal List: HPN,AMACR,NME2,SAT,GDF15
Iteration 5 : Optimal value: 11.6
Optimal List: HPN,AMACR,FASN,NME2,GDF15
Iteration 6 : Optimal value: 12
Optimal List: HPN,AMACR,FASN,OGT,NME2
Iteration 7 : Optimal value: 11.6
Optimal List: HPN,AMACR,FASN,GDF15,NME2
Iteration 8 : Optimal value: 11.6
Optimal List: HPN,AMACR,FASN,NME2,GDF15
Iteration 9 : Optimal value: 11.6
Optimal List: HPN,AMACR,FASN,GDF15,NME2
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