Figure 1.

Predictors of phenotype pairs in yeast. (a) Enrichments for phenotype pairs among 20 predictors. An enrichment value of 1 reflects random performance (shown as 'all pairs', the left-most column) and greater than 1 indicates better than random predictive power. Predictors are arranged in order of increasing predictive power. Error bars indicate the hypergeometric standard deviation, which reflects the range of expected variation in the enrichment value. In the inset, red bars are the same as in the main panel a, and are in the same order. Green bars indicate enrichments in the intersection of each dataset with co-expression (r > 0.3). The seven datasets with significant improvements in predictive power are indicated by asterisks. Note that the four co-expression datasets are not counted in the multiple testing correction because they cannot possibly show any improvement when intersecting with another dataset that is a superset. (b) Green bars are the same as in Figure 1a inset. Blue bars indicate the level of enrichment that would be expected by chance, if co-expression was entirely independent of each dataset. Green bars significantly lower than the paired blue bar indicate a dataset that is not independent of co-expression. Error bars indicate the hypergeometric standard deviation, which reflects the range of expected variation in the enrichment value. In the inset, red bars are the same as in panel a and are in the same order as in both panels a and b. Green bars indicate enrichments in the intersection of each dataset with Munich Information Center for Protein Sequences (MIPS) complexes. Note that although many green bars are significantly higher than the paired red bars, no green bars are significantly higher than the MIPS complexes (rightmost) bars. This indicates that no dataset adds to the predictive power of complexes among the set of proteins in MIPS complexes. HTP, high-throughput; LTP, low-throughput; TF, transcription factor.