遇见数据集

Additional file 2: Table S2. of GAVIN: Gene-Aware Variant INterpretation for medical sequencing

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Figshare2017-01-17 更新2026-04-08 收录
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Detailed overview of all benchmark results. Each combination of tool and dataset is listed. We provide the raw counts of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN), as well as of pathogenic and benign variants that were â missed,â i.e. not correctly identified as such. From these numbers, we calculated the sensitivity and specificity. (XLSX 58 kb)

本文件为所有基准测试结果的详细汇总。其中列明了各类工具与数据集的全部组合情况。我们提供了真阳性(true positives, TP)、真阴性(true negatives, TN)、假阳性(false positives, FP)与假阴性(false negatives, FN)的原始计数,同时涵盖未被正确识别的致病性变异体及良性变异体的相关统计数据,即未能被准确归类为致病性或良性的变异体。基于上述统计数值,我们计算得到了灵敏度与特异度。(XLSX 格式,大小 58 KB)

提供机构:
K. Van Der Velde
创建时间:
2017-01-17
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