Cancer Diagnosis and Treatment

Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features

The paper develops a random forest classifier using genome-wide mutation features to classify cancer of unknown primary (CUP) with high accuracy.

TRANSCUP: a scalable workflow for predicting cancer of unknown primary based on next-generation transcriptome profiling

TRANSCUP is a software tool for predicting cancer of unknown primary using transcriptome data, achieving high accuracy in tumor classification.