“…Esmaeili et al performed a meta-analysis of six published bulk RNA sequencing (RNA-seq) data, and implemented three types of machine learning algorithms to identify potentially key transcription factors (TFs) to be regulated using herbal compounds in cancer cells. Using this approach, they identified four TFs, including AIP , VGLL4 , TFE3 and ID1, to be differentially expressed with the treatment of genistein, an isoflavone compound found in soy products and in liver cancer HepG2 cells [ 7 ].…”