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bioRxiv · 10.1101/2022.01.17.476603

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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Abstract

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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Ferrari, I., Mazzara, S., Grifantini, R., Abrignani, S., Bombaci, M., Rossi, R. L.. 2022-01-20. Combinatorial selection of biomarkers to optimize gene signatures in diagnostics and single cell applications. https://doi.org/10.1101/2022.01.17.476603

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