"This research aimed to diagnose cancer by comparing gene expression profiles, particularly focusing on KIRP and other cancer datasets. Machine learning algorithms were applied to distinguish cancerous and normal samples based on differentially expressed genes (DEGs). The study included three cancer types: KIRP, THCA, and HNSC, identifying common gene patterns and paving the way for improved cancer diagnosis.."
Python; Ai, ML
Datasets were retrieved from NCBI GEO and processed using Python and Linux Shell Scripting.



