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Multivariate Biomarker Discovery Multivariate Biomarkers for Liver Cancer
from Part V - Multivariate Biomarker Discovery Studies
Published online by Cambridge University Press: 30 May 2024
Chapter 17 describes the second real-life study, whose goal is the identification of multivariate biomarkers for liver cancer. This study implements parallel recursive feature elimination experiments coupled with random forests and support vector machines. Included are also considerations for rebalancing class proportions. Three multivariate biomarkers for liver cancer have been identified. The study has been performed in an R environment, and R scripts for all of its steps are provided.
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