Functional descriptions of 24 candidates predicting PAO expression.

The 24 candidates predicting PAO levels in the forward and stepwise method multiple linear regression models of the GSE55907 dataset were identified by their functions through performing SQL joins between tables containing gene names and functions. In particular, probe name_261564_at was found to be relevant due to its transcription factor capacity.

在GSE55907数据集的向前逐步法与逐步法多元线性回归模型中，用于预测PAO水平的24个候选变量，通过对包含基因名称与基因功能的数据表执行SQL表连接操作，依据其功能特性被筛选识别。尤为值得注意的是，探针名称_261564_at因具备转录因子（transcription factor）功能而被发现与PAO水平预测相关。