bioRxivBioinformaticsPreprint
Combiroc: when 'less is more' in bulk and single cell marker signatures.
Ivan FerrariiD, Saveria MazzaraiD, Mariacristina CrostiiD, Sergio AbrignaniiD, Renata GrifantiniiD, Mauro BombaciiD, Riccardo Lorenzo RossiiD
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.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
- 6
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- mastR: Marker Automated Screening Tool for multi-omics data
Jinjin Chen, Ahmed Mohamed, … Chin Wee Tan·BioinformaticsPeer-reviewed·Mar 1, 2025
- SCMarker: ab initio marker selection for single cell transcriptome profiling
Fang Wang, Shaoheng Liang, … Ken Chen·PLoS Computational BiologyPeer-reviewed·Oct 28, 2019
- Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq data sets
Frédéric Pont, Marie Tosolini, Jean‐Jacques Fournié·Nucleic Acids ResearchPeer-reviewed·Jul 1, 2019
- Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters
Sergii Domanskyi, Anthony Szedlak, … Carlo Piermarocchi·BMC BioinformaticsPeer-reviewed·Jul 1, 2019
- Comparison of marker selection methods for high throughput scRNA-seq data
Anna C. Gilbert, Alexander Vargo·bioRxiv·Jun 23, 2019
- DIscBIO: a user-friendly pipeline for biomarker discovery in single-cell transcriptomics
Salim Ghannoum, Waldir Leoncio Netto, … Alvaro Köhn‐Luque·International Journal of Molecular SciencesPeer-reviewed·Jan 30, 2021