Overview of the proposed methodology for predicting 4mCs in multiple species, which involves the following steps: (i) benchmark dataset construction for six different species; (ii) extraction of seven feature encodings that characterize different aspects of DNA sequences and generation of 14 feature descriptors; (iii) generation of a 56-dimensional feature vector using a feature representation learning scheme; and (iv) construction of the final prediction model for each species that separates the input into putative 4mCs and non-4mCs.
Reference
Meta-4mCpred: A sequence-based meta-predictor for accurate DNA N4-methylcytosine site prediction using effective feature representation (submitted). [Please cite this paper if you find Meta-4mCpred useful in your research]
