Functional Impact of Missense Variants in BRCA1 Predicted by Supervised Learning
Figure 3
Computational Classifications of 54 Uncharacterized Variants Found in BIC
For each variant, the local protein structure environment is represented by secondary structure type and whether the amino acid residue is buried (normalized solvent accessibility < 0.2) or exposed (normalized solvent accessibility ≥ 0.2). For the 54 uncharacterized variants, labels (“1652 M->T”) are colored according to consensus prediction from Naïve Bayes, Support Vector Machine, and Random Forest. Predictions of each method are indicated by filled circles (blue, neutral; red, deleterious).
N, Naïve Bayes. R, Random Forest; S, Support Vector Machine.