Novel analyses improve identification of cancer-associated genes from microarray data
Friday, May 2, 2014 - 17:50
in Health & Medicine
A new gene expression analysis approach for identifying cancer genes has been identified by scientists. The study results challenge the current paradigm of microarray data analysis and suggest that the new method may improve identification of cancer-associated genes. Typical microarray-based gene expression analyses compare gene expression in adjacent normal and cancerous tissues. The new approach demonstrated that ranking genes based on inter-tumor variation in gene expression outperforms traditional analytical approaches. The results were consistent across 4 major cancer types: breast, colorectal, lung, and prostate cancer.