Combinatorial selection of biomarkers to optimize gene signatures in diagnostics and single cell applications

Biomarker selection is a critical step in research and diagnostics: here we present the newly developed 'combiroc' R package, for fast and reproducible identification of diagnostic and/or research biomarkers. The package introduces new features for automatic assessment of signal thresholds, as well as functions for identification of unlabeled samples. We also show how combiroc leverages better and unambiguous cell type assignment in single cell RNA sequencing experiments through the combinatorial selection of highly specific gene sub-signatures. ### Competing Interest Statement The authors have declared no competing interest.