five

Leave-one-out cross-validation results of HDiffusion on the larger networks.

收藏
NIAID Data Ecosystem2026-03-07 收录
下载链接:
https://figshare.com/articles/dataset/_Leave_one_out_cross_validation_results_of_HDiffusion_on_the_larger_networks_/210993
下载链接
链接失效反馈
官方服务:
资源简介:
Leave-one-out cross-validation results of HDiffusion on the PPI, HEFalMp cutoff = 0.2, the larger STRING sources, and integrated STRING networks. Scores averaged over 10 distinct sets of candidates previously sampled from the pool of 4092 genes contained in the intersection of the sets of genes in the largest networks (and excluding the seeds). ‘SRec’: percentage of left-out genes (from the total number of seeds in the original seed sets: 620) effectively ranked, that is, yielding a ranking score larger than zero. ‘DRec’: percentage of recovered diseases among the 29 diseases with seeds (a disease is recovered if at least one of its left-out genes obtained a ranking score larger than zero). ‘SEval’: percentage of left-out genes (from the total number of seeds originally in the seed sets: 620) in the network. All evaluation measures, AUC, MAP, TOP 10 and TOP 20, were computed taking into account only the left-out genes present in each network (SEval).
创建时间:
2012-11-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作