Random gene sets in predicting survival of patients with hepatocellular carcinoma.

In conclusion, we demonstrate that using "swarm intelligence" of multiple gene sets for prognosis prediction may not only be superior but also more robust for predictive purposes. KEY MESSAGES: Molecular signatures predicting HCC have not yet been integrated into clinical routine Depending on the selected size, 4.7 to 23.5% of all random gene sets exhibit prognostic potential; independent of the technical platform (microarray, RNASeq) Using "swarm intelligence" resulted in a significantly improved predictability In these patients, approx. 70% of all random 50-gene containing gene sets resulted in equal and stable prediction of survival Overall, "swarm intelligence" is superior and more robust for predictive purposes in HCC. PMID: 31001651 [PubMed - as supplied by publisher]
Source: Molecular Medicine - Category: Molecular Biology Authors: Tags: J Mol Med (Berl) Source Type: research