Open access
Jul 2026
Machine learning integration of tissue-specific metagenomic signatures for colorectal cancer diagnosis.
It was determined that diagnostic success increased with the exclusion of the Faecalibacterium, Age, and Enterobacteriaceae features during the process, and the systematic elimination of initial clinical and metagenomic features maximizes CRC diagnostic accuracy and model stability.
Anıl Delik, Y. Ülger, Ferhat Albayrak et al.
· Journal of Applied Genetics · 0 citations