Table S1. The performance of six combined features without F-score. The table shows the performance measures (Accuracy, Specificity, Sensitivity, AUC, MCC) for the combination of six encoding methods. (XLSX 11 kb
Table S1. Optimization of hyperparameters of DeepM6ASeq. Table S2. Hyperparameter optimization for o...
Table S1. Information for the acetylated proteins in Alvinocaris longirostris. (XLSX 143Â kb
Table S1. Performance comparison among the SVM models trained using different window lengths. (DOCX ...
Table S2. The F-score values of each feature. The table shows the F-score values of the 3972 feature...
Table S4. The training set for lysine acetylation. The table shows all training sets (positive and n...
Table S5. - The independent test set for lysine acetylation. The table shows all independent test se...
S6. Six encoding feature constructions. The supplementary material describes six encoding schemes. (...
Table 7. Detailed parameter information about the neural network. The table contains the parameter ...
Abstract Background Lysine acetylation in protein is one of the most important post-translational mo...
Table S1. The 31 informative physicochemical properties and their corresponding MED (main effect dif...
Figure S1. The MCC score of the optimal feature subsets. Figure S2. AUC (area below ROC curve) chang...
Supplementary datasets for the paper "Improved annotation of enzyme encoding genes using deep learni...
Additional figures. Comparsion of the comprehensive classification performance metrics including ACC...
Identification of lysine (symbol Lys or K) succinylation (Ksucc) sites centralizes the basis for dis...
Identification of lysine (symbol Lys or K) succinylation (Ksucc) sites centralizes the basis for dis...
Table S1. Optimization of hyperparameters of DeepM6ASeq. Table S2. Hyperparameter optimization for o...
Table S1. Information for the acetylated proteins in Alvinocaris longirostris. (XLSX 143Â kb
Table S1. Performance comparison among the SVM models trained using different window lengths. (DOCX ...
Table S2. The F-score values of each feature. The table shows the F-score values of the 3972 feature...
Table S4. The training set for lysine acetylation. The table shows all training sets (positive and n...
Table S5. - The independent test set for lysine acetylation. The table shows all independent test se...
S6. Six encoding feature constructions. The supplementary material describes six encoding schemes. (...
Table 7. Detailed parameter information about the neural network. The table contains the parameter ...
Abstract Background Lysine acetylation in protein is one of the most important post-translational mo...
Table S1. The 31 informative physicochemical properties and their corresponding MED (main effect dif...
Figure S1. The MCC score of the optimal feature subsets. Figure S2. AUC (area below ROC curve) chang...
Supplementary datasets for the paper "Improved annotation of enzyme encoding genes using deep learni...
Additional figures. Comparsion of the comprehensive classification performance metrics including ACC...
Identification of lysine (symbol Lys or K) succinylation (Ksucc) sites centralizes the basis for dis...
Identification of lysine (symbol Lys or K) succinylation (Ksucc) sites centralizes the basis for dis...
Table S1. Optimization of hyperparameters of DeepM6ASeq. Table S2. Hyperparameter optimization for o...
Table S1. Information for the acetylated proteins in Alvinocaris longirostris. (XLSX 143Â kb
Table S1. Performance comparison among the SVM models trained using different window lengths. (DOCX ...
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