|Title||geneSelRSF: Gene selection using iterative recursive feature elimination (R).|
|Year of Publication||2012|
Gene selection using random forests is a method for feature selection in high-dimensional data with survival outcomes. This R package implements a novel method based on random forests to identify a set of prognostic genes. The method accommodates multivariate correlations in microarray data for survival outcomes.
|Original Publication||geneSelRSF: Gene selection using iterative recursive feature elimination (R).|