Identification of an Efficient Gene Expression Panel for Glioblastoma Classification

We present here a novel genetic algorithm-based random forest (GARF) modeling technique that enables a reduction in the complexity of large gene disease signatures to highly accurate, greatly simplified gene panels. When applied to 803 glioblastoma multiforme samples, this method allowed the 840-gen...

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Publicat a:PLoS One
Autors principals: Crisman, Thomas J., Zelaya, Ivette, Laks, Dan R., Zhao, Yining, Kawaguchi, Riki, Gao, Fuying, Kornblum, Harley I., Coppola, Giovanni
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2016
Matèries:
Research Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5113897/
https://ncbi.nlm.nih.gov/pubmed/27855170
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0164649
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