Flow-process diagram

Here to introduce how can we use python to build prediction models and identify the m6Am sites with a CatBoost-based model, the flow-process diagram is as follows:

Citation

*CITATIONS:
·A. V. Dorogush, V. Ershov, and A. Gulin, "CatBoost: gradient boosting with categorical features support," ed. Ithaca: Cornell University Library, arXiv.org, 2018.
·J. Jiang et al., "m6AmPred: Identifying RNA N6, 2'-O-dimethyladenosine (m(6)A(m)) sites based on sequence-derived information," Methods, vol. 203, pp. 328-
334, Jul 2022, doi: 10.1016/j.ymeth.2021.01.007.
·Z. Luo, W. Su, L. Lou, W. Qiu, X. Xiao, and Z. Xu, "DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2'-O-Dimethyladenosine Sites in RNA Sequences,"
Int J Mol Sci, vol. 23, no. 19, Sep 20 2022, doi: 10.3390/ijms231911026.