Common biochemical properties of metabolic genes recurrently dysregulated in tumors

ConclusionsMetOncoFit integrates a broad range of datasets to understand how biochemical and topological features influence metabolic gene dysregulation across various cancer types. MetOncoFit was able to achieve significantly higher accuracy in predicting differential expression, copy number variation, and patient survival than traditional modeling approaches. Overall, MetOncoFit illuminates how enzyme activity and metabolic network architecture influences tumorigenesis.
Source: Cancer and Metabolism - Category: Cancer & Oncology Source Type: research