Recommended model feature importance on binary predictive tasks

These tables contain feature importance rankings for the coefficients of the recommended model (L2 regression). Specifically, there is one table for each gene set. Each table has 21 columns corresponding to the 21 different binary predictive tasks. The rows of each table are the ensembl IDs of the genes in the gene set. The values are the mean (across five CV folds) normalized ranking of that gene's coefficient in the recommended model on the corresponding task. <br>

本批表格收录了推荐模型（L2回归，L2 regression）中各系数对应的特征重要性排名结果。具体而言，每个基因集对应一张专属表格。每张表格设有21列，分别对应21项不同的二分类预测任务。每张表格的行元素为该基因集中各基因的Ensembl ID（Ensembl ID）。表格内的数值为对应任务下，该基因的系数在推荐模型中的归一化排名的五折交叉验证均值。