CombiROC: an interactive web tool for selecting accurate marker combinations of omics data

Diagnostic accuracy can be improved considerably by combining multiple markers, whose performance in identifying diseased subjects is usually assessed via receiver operating characteristic (ROC) curves. The selection of multimarker signatures is a complicated process that requires integration of dat...

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Bibliographic Details
Published in:Scientific reports 2017-03, Vol.7 (1), p.45477-45477, Article 45477
Main Authors: Mazzara, Saveria, Rossi, Riccardo L., Grifantini, Renata, Donizetti, Simone, Abrignani, Sergio, Bombaci, Mauro
Format: Article
Language:English
Subjects:
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Area Under Curve
Biomarkers
Biomarkers - analysis
Biomarkers - blood
Computer applications
Data processing
Filters
Genomics
Hepatitis, Autoimmune - diagnosis
Hepatitis, Autoimmune - metabolism
Humanities and Social Sciences
Humans
Integration
Internet
Lymphoma - diagnosis
Lymphoma - genetics
MicroRNAs - blood
multidisciplinary
Myotonic Dystrophy - diagnosis
Myotonic Dystrophy - genetics
Online tutorials
Performance evaluation
Proteomics
ROC Curve
Science
Sensitivity and Specificity
Standard deviation
Statistical methods
User-Computer Interface
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Summary:Diagnostic accuracy can be improved considerably by combining multiple markers, whose performance in identifying diseased subjects is usually assessed via receiver operating characteristic (ROC) curves. The selection of multimarker signatures is a complicated process that requires integration of data signatures with sophisticated statistical methods. We developed a user-friendly tool, called CombiROC, to help researchers accurately determine optimal markers combinations from diverse omics methods. With CombiROC data from different domains, such as proteomics and transcriptomics, can be analyzed using sensitivity/specificity filters: the number of candidate marker panels rising from combinatorial analysis is easily optimized bypassing limitations imposed by the nature of different experimental approaches. Leaving to the user full control on initial selection stringency, CombiROC computes sensitivity and specificity for all markers combinations, performances of best combinations and ROC curves for automatic comparisons, all visualized in a graphic interface. CombiROC was designed without hard-coded thresholds, allowing a custom fit to each specific data: this dramatically reduces the computational burden and lowers the false negative rates given by fixed thresholds. The application was validated with published data, confirming the marker combination already originally described or even finding new ones. CombiROC is a novel tool for the scientific community freely available at http://CombiROC.eu .
ISSN:2045-2322
2045-2322
DOI:10.1038/srep45477