The relative advantageous trend of enhanced classification performance for Ising-type methods on small amounts of training data is true even when using gene-level features; Figure S7 shows balanced accuracies for LumA versus LumB and ERpos versus ERneg breast cancer comparisons relative to the top 44 genes from PC1 on incrementally smaller amounts of training data. Here, TMEM43 is linked to breast carcinoma.