Predictors

Variant prediction tools help assess the potential impact of genetic changes. Gene Inspector Pro integrates multiple prediction algorithms to provide comprehensive variant assessment.

Available Predictors

• DANN Score - Deep learning-based pathogenicity prediction
• AlphaMissense Score - Structure-based missense variant prediction
• REVEL Score - Predicts pathogenicity of missense variants based on a combination of scores from 13 individual tools.

Understanding Prediction Scores

Different predictors use various approaches:

• Machine Learning: DANN uses deep neural networks
• Structural Analysis: AlphaMissense leverages protein structure data
• Evolutionary Conservation: Many tools consider cross-species conservation
• Clinical Data: Some incorporate existing clinical annotations

Best Practices

• Use multiple predictors for comprehensive assessment
• Consider prediction confidence levels
• Validate high-impact predictions with additional evidence
• Understand each predictor's strengths and limitations