PLoS ONE · 2019 · 35 citations · 36 references
The number of samples seems to have a limited effect on the performance while the heterogeneity, at least with respect to sex, is important for the performance. Hence, by analyzing the genders separately, the possible loss caused by having fewer samples could be outweighed by the benefit of a more homogeneous data.
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Classification and Regression by randomForest
Andy Liaw, Matthew C. Wiener · 2007 · 18.4K citations
Comprehensive molecular portraits of human breast tumours
Nature · 2012 · 12.1K citations · Full text
Breast Oncology, Comprehensive Molecular Portraits, Tumor Heterogeneity +6