“…First, we use SAH intervention experiments to screen out candidate genes that are susceptible to LCN2, then employ Fisher's exact test (Xie et al, 2011;Li et al, 2017;Xia et al, 2017;Zhang et al, 2019b) to choose signaling pathways from among the candidates under different experimental conditions. Second, we use E-Bayes (Carlin and Louis, 2010), SVM-RFE (Duan et al, 2005), SPCA (Zou et al, 2006), and statistical tests (Zhang et al, 2016(Zhang et al, , 2018(Zhang et al, , 2019b(Zhang et al, ,d, 2020Xiao et al, 2019) to investigate key genes from experimental data by considering both SAH and LCN2 as factors. Third, we integrate the logistic regression (LR), support vector machine (SVM), and Naive-Bayes algorithms (Xia et al, 2017;Zhang et al, 2017aZhang et al, , 2019a into an ensemble learning model (Gao et al, 2017;Zhang et al, 2019b) to build a model for early SAH prediction.…”