Table S3. Adjusted rand index (ARI) scores measuring the similarity in cluster membership between the results of every pair of methods when applied to each of the 100 datasets. (XLSX 31 kb
100 microarray and RNA-seq gene expression datasets from five model species (human, mouse, fruit fly...
Figure of Merit. The graph represents the measure of fit of the expression patterns for the clusters...
A case for pairwise comparisons demonstrating how it avoids inflation of false positive results from...
Table S2. A list of the 100 gene expression datasets analyzed in this study. (XLSX 18 kb
Table S5. A list of the 19 gene expression datasets which have more samples than 50 (complementary l...
Table S4. MSE and JI values for whole clustering results as generated by each of the eight methods w...
Table S6. MSE and JI values for all individual clusters generated by each of the eight methods when ...
Table S13. Numbers of clusters generated by applying each of the eight clustering methods to multipl...
Table S1. Full expression values and cluster membership of the simulated gene expression datasets in...
Table S11. JI values for the results of applying each of the eight clustering methods to multiple da...
Table S7. Values of each one of the seven cluster validation indices DB, BIC, Silhouette, CH, BH, XU...
Table S10. MSE values for the results of applying each of the eight clustering methods to multiple d...
Table S14. GO terms of some of the results of applying clust to multiple datasets simultaneously. (X...
Abstract Identifying co-expressed gene clusters can provide evidence for genetic or physical interac...
Comparison of ClustAGE results with pairwise gene ortholog analysis. (XLSX 54Â kb
100 microarray and RNA-seq gene expression datasets from five model species (human, mouse, fruit fly...
Figure of Merit. The graph represents the measure of fit of the expression patterns for the clusters...
A case for pairwise comparisons demonstrating how it avoids inflation of false positive results from...
Table S2. A list of the 100 gene expression datasets analyzed in this study. (XLSX 18 kb
Table S5. A list of the 19 gene expression datasets which have more samples than 50 (complementary l...
Table S4. MSE and JI values for whole clustering results as generated by each of the eight methods w...
Table S6. MSE and JI values for all individual clusters generated by each of the eight methods when ...
Table S13. Numbers of clusters generated by applying each of the eight clustering methods to multipl...
Table S1. Full expression values and cluster membership of the simulated gene expression datasets in...
Table S11. JI values for the results of applying each of the eight clustering methods to multiple da...
Table S7. Values of each one of the seven cluster validation indices DB, BIC, Silhouette, CH, BH, XU...
Table S10. MSE values for the results of applying each of the eight clustering methods to multiple d...
Table S14. GO terms of some of the results of applying clust to multiple datasets simultaneously. (X...
Abstract Identifying co-expressed gene clusters can provide evidence for genetic or physical interac...
Comparison of ClustAGE results with pairwise gene ortholog analysis. (XLSX 54Â kb
100 microarray and RNA-seq gene expression datasets from five model species (human, mouse, fruit fly...
Figure of Merit. The graph represents the measure of fit of the expression patterns for the clusters...
A case for pairwise comparisons demonstrating how it avoids inflation of false positive results from...
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