Integrative Network Pharmacology, Transcriptomics, scRNA-Seq, Machine Learning, and In Silico Knockout Elucidate Wendan Decoction's Regulatory Mechanisms in Gastric Cancer
This study employs a multi-scale framework integrating network pharmacology, transcriptomics, single-cell RNA sequencing, and machine learning to elucidate how Wendan Decoction targets SPP1 and MMP3 via active compounds like quercetin and berberine to modulate gastric cancer progression and the tumor microenvironment, thereby identifying SPP1 as a high-accuracy diagnostic biomarker and therapeutic target.