2024
DOI: 10.1038/s41598-024-60068-9
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Machine-learning prediction of a novel diagnostic model using mitochondria-related genes for patients with bladder cancer

Jian Li,
Zhiyong Wang,
Tianen Wang

Abstract: Bladder cancer (BC) is the ninth most-common cancer worldwide and it is associated with high morbidity and mortality. Mitochondrial Dysfunction is involved in the progression of BC. This study aimed to developed a novel diagnostic model based on mitochondria-related genes (MRGs) for BC patients using Machine Learning. In this study, we analyzed GSE13507 datasets and identified 752 DE-MRGs in BC specimens. Functional enrichment analysis uncovered the significant roles of 752 DE-MRGs in key processes such as cel… Show more

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