tnbc

<p>Gene expression profiles in triple-negative breast cancer cells with 215 observations and 337 variables. Gene expression values were randomly chosen from the original dataset. The outcome variable is <em>subtype</em>.</p>

Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction. Decision rules can be extracted from trees.

Min Lu

ranktreeEnsemble

Ensemble Models of Rank-Based Trees with Extracted Decision
Rules

tnbc: Gene expression profiles in triple-negative breast cancer cell

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