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

• Main Authors: Uddin I., Awan H.H., Khalid M., Khan S., Akbar S., Sarker M.R., Abdolrasol M.G.M., Alghamdi T.A.H.
• Other Authors: 58993722900
• Format: Article
• Published: Nature Research 2025
• Subjects: 5-Methylcytosine; Algorithms; Cytosine; Humans; Machine Learning; 5 methylcytosine; 5-hydroxymethylcytosine; cytosine; algorithm; human; machine learning; metabolism

RNA modifications play an important role in actively controlling recently created formation in cellular regulation mechanisms, which link them to gene expression and protein. The RNA modifications have numerous alterations, presenting broad glimpses of RNA?s operations and character. The modificatio...