Combinatorial selection of biomarkers to optimize gene signatures in diagnostics and single cell applications
Ferrari, I.; Mazzara, S.; Grifantini, R.; Abrignani, S.; Bombaci, M.; Rossi, R. L.
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Here we present the combiroc R package, for signatures refinement in high throughput omics. Based on a ROC-driven marker selection, it can be used to find powerful smaller sub-signatures from scRNAseq experiments and to annotate cells using fewer markers. Trained on PBMC dataset, combiroc found NK marker combinations with high cell-discriminating power, in agreement with human protein atlas and that were validated both computationally and experimentally on independent datasets.
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