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10.1038/srep46290

http://scihub22266oqcxt.onion/10.1038/srep46290
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C5384236!5384236!28387367
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suck abstract from ncbi


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pmid28387367      Sci+Rep 2017 ; 7 (ä): ä
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  • OncoScore: a novel, Internet-based tool to assess the oncogenic potential of genes #MMPMID28387367
  • Rocco P; Daniele R; Roberta S; Alessandra P; Luca DS; Pierangelo F; Vera M; Nicoletta C; Nitesh S; Carlo GP
  • Sci Rep 2017[]; 7 (ä): ä PMID28387367show ga
  • 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.
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