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Figure 4 | Genome Biology

Figure 4

From: Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations

Figure 4

Recurrence of individual mutation effect prediction algorithms in the top performing mutation effect prediction algorithm combinations ranked by composite score. The top 10, top 20, top 50, and top 100 combinations of prediction algorithms were defined using the non-neutral (n = 849) and neutral (n = 140) single nucleotide variants (SNVs) included in the entire dataset and ranked according to composite score. The frequency of each single mutation effect predictor present in these top combinations was determined in subset 1 and subset 2 (A). The top 10, top 20, top 50, and top 100 combinations of prediction algorithms were defined using the non-neutral (n = 188) and neutral (n = 109) SNVs not present in the COSMIC database and ranked according to composite score. The frequency of each single mutation effect predictor present in these top combinations was determined in subset 1 and subset 2 (B).

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