CD4 and bacterial vaginosis: Recently, Beck et al. [24] investigate the machine learning by random forests and logistic regression classifiers in bacterial vaginosis (BV) classification, Lareau et al. [25] apply machine learning to analyze functional effectors in microarray data, Lu et al. [26] compares four supervised learning methods in modeling the differentiation of CD4+ T cell.