Jianlan Ren

This study identifies drug-tolerant persister states in melanoma using MeRLin, showing their role in resistance and tumor recurrence.

This study identifies dysregulated gene regulatory networks in opioid use disorder and HIV using snRNA-seq data from brain samples, revealing altered FOS-centered networks and potential therapeutic targets.

scDILT integrates single-cell datasets while preserving reference clustering patterns and mapping new cells to annotated clusters, outperforming existing methods on simulated and real data.

This study integrates multi-omic data from lung cancer and brain metastases to identify mitochondrial metabolism as a therapeutic target in brain metastases.