PREDICTOR CORRELATION ANALYSIS

Analysis Information

Job ID: 680f2c848528a

UniProt: P04637

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Pairwise Predictor Correlations

This analysis shows the pairwise correlations between different predictor scores for the mutations in this dataset. A higher positive correlation (closer to 1) indicates that two predictors tend to give similar scores, while a negative correlation indicates they tend to score in opposite directions.

Interpretation Guide:
  • Correlation Value Range: -1 (perfect negative) to +1 (perfect positive)
  • Strong Positive (0.7 to 1.0): Predictors strongly agree
  • Moderate Positive (0.3 to 0.7): Predictors moderately agree
  • Weak Positive (0 to 0.3): Predictors slightly agree
  • Weak Negative (0 to -0.3): Predictors slightly disagree
  • Moderate Negative (-0.3 to -0.7): Predictors moderately disagree
  • Strong Negative (-0.7 to -1.0): Predictors strongly disagree
  • (N) Values: Number of mutations with data for both predictors