Additional file 4 of Modeling of clinical phenotypes in systemic lupus erythematosus based on the platelet transcriptome and FCGR2a genotype

Additional file 4: Table S3. The genes selected for machine learning for the prediction between SLE and control that filled the criteria of (1) Differentially expressed between SLE and control, (2) correlated with the SLEDAI values of patients, and (3) part of the greenyellow or tan module.

附加文件4：表S3。本研究筛选得到用于系统性红斑狼疮（Systemic Lupus Erythematosus, SLE）与健康对照预测的机器学习特征基因，此类基因需同时满足以下三项筛选标准：(1) 在SLE与对照样本中存在差异表达；(2) 与患者的系统性红斑狼疮疾病活动指数（Systemic Lupus Erythematosus Disease Activity Index, SLEDAI）值相关；(3) 属于greenyellow或tan模块。