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. 2016 Jun 22;6:28517. doi: 10.1038/srep28517

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Copyright © 2016, Macmillan Publishers Limited

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(A,B) Performance assessment of PEDLA with the best-trained model in the training cell set and test cell set. Three performance indicators, accuracy, GM, and F1-score, were assessed for the PEDLA with the best trained model in the 22 training cell types/tissues (A) and 20 test cell types/tissues (B), independently. The best-trained model was the only one selected in terms of performance from the 200 optimal models (1 ≤ i ≤ 200) that finished training on 22 training cell types/tissues. All enhancers were classified as “specific” or “common” based on the number of cell types/tissues in which the enhancers occurred. An enhancer that occurred in not more than 4 cell types/tissues was termed specific; otherwise, it was considered common.

Inline graphic — (A,B) Performance assessment of PEDLA with the best-trained model in the training cell set and test cell set. Three performance indicators, accuracy, GM, and F1-score, were assessed for the PEDLA with the best trained model in the 22 training cell types/tissues (A) and 20 test cell types/tissues (B), independently. The best-trained model was the only one selected in terms of performance from the 200 optimal models (1 ≤ i ≤ 200) that finished training on 22 training cell types/tissues. All enhancers were classified as “specific” or “common” based on the number of cell types/tissues in which the enhancers occurred. An enhancer that occurred in not more than 4 cell types/tissues was termed specific; otherwise, it was considered common.