Table S5. - The independent test set for lysine acetylation. The table shows all independent test sets (positive and negative fragments). (XLSX 314 kb
Supplementary datasets for the paper "Improved annotation of enzyme encoding genes using deep learni...
Lysine acetylation is a crucial type of protein post-translational modification, which is involved i...
Detailed analysis of the prediction accuracies of the test sets. Table S6. Percent of proteins in th...
Table S4. The training set for lysine acetylation. The table shows all training sets (positive and n...
Table S1. The performance of six combined features without F-score. The table shows the performance ...
Table S2. The F-score values of each feature. The table shows the F-score values of the 3972 feature...
Table 7. Detailed parameter information about the neural network. The table contains the parameter ...
S6. Six encoding feature constructions. The supplementary material describes six encoding schemes. (...
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...
Size of datasets. Number of training, validation and test samples for all cell types. (XLSX 36Â kb
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. Information for the acetylated proteins in Alvinocaris longirostris. (XLSX 143Â kb
Table S4. Five-fold cross validation results of Decision Tree classifiers trained using various feat...
Supplementary datasets for the paper "Improved annotation of enzyme encoding genes using deep learni...
Lysine acetylation is a crucial type of protein post-translational modification, which is involved i...
Detailed analysis of the prediction accuracies of the test sets. Table S6. Percent of proteins in th...
Table S4. The training set for lysine acetylation. The table shows all training sets (positive and n...
Table S1. The performance of six combined features without F-score. The table shows the performance ...
Table S2. The F-score values of each feature. The table shows the F-score values of the 3972 feature...
Table 7. Detailed parameter information about the neural network. The table contains the parameter ...
S6. Six encoding feature constructions. The supplementary material describes six encoding schemes. (...
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...
Size of datasets. Number of training, validation and test samples for all cell types. (XLSX 36Â kb
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. Information for the acetylated proteins in Alvinocaris longirostris. (XLSX 143Â kb
Table S4. Five-fold cross validation results of Decision Tree classifiers trained using various feat...
Supplementary datasets for the paper "Improved annotation of enzyme encoding genes using deep learni...
Lysine acetylation is a crucial type of protein post-translational modification, which is involved i...
Detailed analysis of the prediction accuracies of the test sets. Table S6. Percent of proteins in th...
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