Faming Zhao

This study quantifies cancer stemness in prostate cancer across progression stages, showing its association with therapy resistance, poor survival, and lineage plasticity.

ACCREDIT improves cross-modal image registration by detecting failures and automatically recovering alignments, outperforming existing methods in accuracy and robustness.

The paper identifies global 3'UTR lengthening in SCNC through APA and develops a neural network model to classify SCNC using APA signatures.

This study constructs the Prostate Cancer Cell Atlas by analyzing ~710,000 single cells from 197 human samples to characterize cell states and dynamics across prostate cancer progression stages.

The paper examines the relationship between androgen receptor activity and immune cell infiltration, showing that lower AR activity correlates with increased immune activity and better immunotherapy response across multiple cancers.