Fig. 1 | Scientific Reports

Fig. 1

From: A hybrid residue based sequential encoding mechanism with XGBoost improved ensemble model for identifying 5-hydroxymethylcytosine modifications

Fig. 1

Predictive Architecture for Identifying 5hmC Modifications in RNA Sequences. This figure depicts the architecture of the model used to predict 5-hydroxymethylcytosine (5hmC) modifications in RNA sequences. It outlines the steps from data input and feature extraction to the final machine learning model (XGBoost) used for prediction. The workflow highlights the integration of various computational techniques to identify 5hmC sites effectively.

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