MOESM1 of Prediction of sgRNA on-target activity in bacteria by deep learning
收藏NIAID Data Ecosystem2026-03-11 收录
数据链接:
官方服务:
资源简介:
Additional file 1 More detailed tables. Statistical significance of Spearman correlation coefficients in this paper and more details about 5-fold cross-validation. Table S1. Performance of all modes including DeepCRISPR, CNN_Lin, DeepCas9, CNN_2layers, CNN_3layers, CNN_4layers, CNN_5layers, and CNN_7layers. Table S2. The Spearman correlation coefficients and significances between eukaryotic sgRNA activity and predictions based on our prokaryotic models and eukaryotic models. Table S3. Significance between on-target activity and six melting temperatures, four RNA fold scores, and four POSs. Table S4. Detailed information of 5-fold cross-validation for several network architectures.
创建时间:
2019-10-24



