Bulk and single-cell RNA sequencing analyses coupled with multiple machine learning to develop a glycosyltransferase associated signature in colorectal cancer

Abstract excerpt

• Glycosyltransferases associated with CRC were redefined at the single-cell RNA level using five algorithms. • Seven machine learning algorithms were rigorously assessed for CRC prognosis prediction using nested cross-validation. • The model was validated on four cohorts, analyzing TME, immunotherapy responses, mutations, and risk-specific pathways. • Identifying therapies for high-GARS patients marks a key step...

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