Prediction of novel links between cell proliferation and drugs using open discovery.
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https://figshare.com/articles/dataset/_Prediction_of_novel_links_between_cell_proliferation_and_drugs_using_open_discovery_/498676
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The following intermediate inclusion criteria were used to calculate the hidden relationships: minimal number of co-publications between keywords: at least 2; minimal R-scaled score between keywords: at least 20; intermediates used: genes; literature: till May 1st 2007. The significance cutoff of Ri scores were set to a maximum false-positive rate of 0.1, which was set to 36 for the used settings, as calculated in the literature partitioning analysis (Figure 2).
本研究采用以下中间纳入标准计算潜在关联关系:关键词间共同发表文献数至少为2篇;关键词间的R缩放得分(R-scaled score)至少为20;所采用的中间变量为基因;纳入分析的文献截止至2007年5月1日。Ri评分的显著性截断阈值设置为最大假阳性率0.1,结合本次所用的分析设置,该阈值经文献分组分析(图2)计算后对应取值为36。
创建时间:
2010-09-23



