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Fig. 10 | Genome Biology

Fig. 10

From: An ensemble approach to accurately detect somatic mutations using SomaticSeq

Fig. 10

Machine learning: a training set with ground truth is provided to the machine-learning algorithm to create an adaptively boosted classifier. The classifier is applied to a target set to create a high-confidence somatic mutation call set. The call set is compared to the ground truth or the validated mutation list of the target set to calculate the accuracy (only sensitivity is calculated for real data)

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