A hybrid residue based sequential encoding mechanism with XGBoost improved ensemble model for identifying 5-hydroxymethylcytosine modifications
Most Cited Paper
in RNA modifications and cancer
18 Months Post-Publication
Class of 2026
“A hybrid residue based sequential encoding mechanism with XGBoost improved ensemble model for identifying 5-hydroxymethylcytosine modifications”
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pri.pepkio.com/top-papers/rna-modifications-and-cancer/2026/
Topics
5-hydroxymethylcytosine (5hmC) · 5-hydroxymethylcytosine (5hmC) · RNA modification · TET enzyme oxidation · 5-hydroxymethylcytosine (5hmC) · XGBoost · gradient boosting algorithm · residue based sequential encoding · hybrid vector · frequency residue based encoding features · SHAP · SHAP · feature selection · ensemble model · 10-fold cross-validation · epigenetic alterations · gene expression regulation · XGB5hmC
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Pepkio Research Index (PRI). Topics and Trends in Most Cited RNA modifications and cancer Papers, Class of 2026. https://pri.pepkio.com/top-papers/rna-modifications-and-cancer/2026. Accessed 2026-07-22. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459