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Random gene sets in predicting survival of patients with hepatocellular carcinoma

Itzel, T., Spang, Rainer, Maass, T., Munker, S., Roessler, S., Ebert, M. P., Schlitt, Hans J. , Herr, Wolfgang, Evert, Matthias and Teufel, A. (2019) Random gene sets in predicting survival of patients with hepatocellular carcinoma. J. Mol. Med..

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Other URL: https://link.springer.com/article/10.1007%2Fs00109-019-01764-2


Despite multiple publications, molecular signatures predicting the course of hepatocellular carcinoma (HCC) have not yet been integrated into clinical routine decision-making. Given the diversity of published signatures, optimal number, best combinations, and benefit of functional associations of genes in prognostic signatures remain to be defined. We investigated a vast number of randomly chosen ...


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Item type:Article
Date:17 April 2019
Institutions:Medicine > Lehrstuhl für Chirurgie
Medicine > Lehrstuhl für Innere Medizin III (Hämatologie und Internistische Onkologie)
Medicine > Lehrstuhl für Pathologie
Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identification Number:
31001651PubMed ID
Keywords:Bioinformatics; Gene set; HCC; Liver cancer; Microarray; Profiling; Prognostic; RNA Seq; Random; Signature; Swarm intelligence; Transcriptome
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Partially
Item ID:40087
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