bioRxiv · 10.1101/115329
OncoScore: a novel, Internet-based tool to assess the oncogenic potential of genes
Abstract
The complicated, evolving landscape of cancer mutations poses a formidable challenge to identify cancer genes among the large lists of mutations typically generated in NGS experiments. The ability to prioritize these variants is therefore of paramount importance. To address this issue we developed OncoScore, a text-mining tool that ranks genes according to their association with cancer, based on available biomedical literature. Receiver operating characteristic curve and the area under the curve (AUC) metrics on manually curated datasets confirmed the excellent discriminating capability of OncoScore (OncoScore cut-off threshold = 21.09; AUC = 90.3%, 95% CI: 88.1-92.5%), indicating that OncoScore provides useful results in cases where an efficient prioritization of cancer-associated genes is needed.
Source connections
Explore related subjects
Keep this discovery
Piazza, R., Ramazzotti, D., Spinelli, R., Pirola, A., De Sano, L., Ferrari, P., Magistroni, V., Cordani, N., Sharma, N., Gambacorti-Passerini, C.. 2017-03-09. OncoScore: a novel, Internet-based tool to assess the oncogenic potential of genes. https://doi.org/10.1101/115329
Cite the original work for its findings. Save a collection to share your selection of sources.