
  Gene expression profiling for predicting clinical outcome of breast
  cancer (van't Veer et al., 2002).  Microarray breast cancer data set
  of 4707 expression values on 78 patients with survival information.


datasets

A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package.  The package runs in both serial and parallel (OpenMP) modes. Now extended to include multivariate and unsupervised forests.

vdv: van de Vijver Microarray Breast Cancer

Description

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References