Editorial: scRNAseq, bulk-RNAseq and Future Deep Learning RNAseq Analysis: Powerful Prediction Tools in Prostate Cancer Therapy

Most of the present databases in prostate cancer expression studies are in single-cell and bulk RNA sequencing formats. Using these tools, cell-cell interaction could have revealed associated tumor cell profile signatures like RAECs could be determined, and the origin cell level evolution of tumor cells like neuroendocrine cells could be found. They are using ultra-deep RNAseq-enhanced alternative promoter functions found in high-grade prostate tumors. scRNAseq and bulk-RNAseq assisted by new deep learning algorithm models could change the perception of prostate cancer forever.