Additional file 4 of Predicting clinical outcomes in neuroblastoma with genomic data integration
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https://figshare.com/articles/dataset/Additional_file_4_of_Predicting_clinical_outcomes_in_neuroblastoma_with_genomic_data_integration/7145102
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资源简介：
Performance metrics of models for predicting OS and EFS in Versteeg and Target cohorts. This spreadsheet lists the performance metrics of models trained from SEQC cohort. Models that use different types of gene expression data (i.e., microarray, RNA-seq (MAV), RNA-seq (RPM)) are listed individually. (XLSX 40 kb)
本数据集包含Versteeg队列与Target队列中用于预测总生存期（Overall Survival, OS）和无事件生存期（Event-Free Survival, EFS）的模型性能指标。本电子表格列出了基于SEQC队列训练得到的模型的性能指标，其中使用不同类型基因表达数据（即基因芯片、RNA测序（MAV）、RNA测序（RPM））的模型将单独列出。（XLSX 40 kb）
创建时间：
2019-01-09
