five

Growth prediction accuracy in knockout models with constrained reaction directionality.

收藏
NIAID Data Ecosystem2026-03-08 收录
下载链接:
https://figshare.com/articles/dataset/_Growth_prediction_accuracy_in_knockout_models_with_constrained_reaction_directionality_/1077724
下载链接
链接失效反馈
官方服务:
资源简介:
Reaction deleted only if no functional enzyme complex associated with the reaction remains after knockout. Reconstructed model performance in predicting [34] “raw” observations (Observed) and “refined” observations (Refined) of [34]. Performance of the model of [34] (Reference) in predicting “raw” observations is also shown. Rows: Correct and incorrect growth predictions (TP, FP), correct and incorrect no-growth predictions (TN, FN), total number of cases, sensitivity, specificity, precision and F1 score.
创建时间:
2014-02-06
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