Figure 2.

The AUC of Proposed Features with RF for Identifying 5hmC/6mA/4mC Sites in 17 Genomes

(A) The AUC of proposed features with RF for identifying 5hmC sites in H. sapiens and M. musculus. (B) The AUC of proposed features with RF for identifying 6mA sites in A. thaliana, C. elegans, C. equisetifolia, D. melanogaster, H. sapiens, S. cerevisiae, and Ts. SUP5-1. (C) The AUC of proposed features with RF for identifying 4mC sites in C. equisetifolia, F. vesca, S. cerevisiae, and Ts. SUP5-1.Figure 3: The Performance Evaluation of the RF and Other Three Machine Learning Algorithms on 17 Genomes in Terms of AUC(A) The AUC of RF and other three machine learning algorithms for identifying 5hmC inH. sapiens and M. musculus. (B) The AUC of RF and other three machine learning algorithms for identifying 6mA in A. thaliana, C. elegans, C. equisetifolia, D. melanogaster, H. sapiens, S. cerevisiae, and Ts. SUP5-1. (C) The AUC of RF and other three machine learning algorithms for identifying 4mC in C. equisetifolia, F. vesca, S. cerevisiae, and Ts. SUP5-1.Figure 4: Illustration to show the prediction indexes for identifying 5hmC, 6mA, and 4mC sites by using independent datasets. (A) The prediction indexes for identifying 5hmC by using independent datasets on H. sapiens and M. musculus. (B) The prediction indexes for identifying 6mA by using independent datasets on A. thaliana, C. elegans, C. equisetifolia, D. melanogaster, H. sapiens, S. cerevisiae, and Ts. SUP5-1. (C) The prediction indexes for identifying 4mC by using independent datasets on C. equisetifolia, F. vesca, S. cerevisiae, and Ts. SUP5-1.