Variable importance measure (VIM) information for the features that have a Holm-Bonferroni p-value less than 0.05, ranked by their contribution to the prediction of the quantitative log IC50 outcome.
收藏数据链接：
官方服务：
资源简介：
Variable importance measure (VIM) information for the features that have a Holm-Bonferroni p-value less than 0.05, ranked by their contribution to the prediction of the quantitative log IC50 outcome.
创建时间：
2019-04-11
