Automatic discovery of cross-family sequence features associated with protein function

BMC Bioinformatics

Table 2 Correlations between function predictors.

Pearson's correlation coefficient, r_A,Bis calculated for all pairs of fixed-target predictor using the "consensus prediction scores" from test set sequences. Only predictor pairs where |r_A,B| > 0.5 are shown. The strongest correlations shown at the top of the table are for "self comparisons" using duplicate predictors (trained independently with a different random seed). These indicate what "perfect" correlations would be, taking into account experimental noise. The highest non-self correlation, 0.86, is found between "nuclear" and "transcription" predictors (the raw data is shown by the blue data points in Figure 5(A)).

ISSN: 1471-2105