Hongbin Ji

This paper identifies a specific neuronal population in mice that safely enables long-term torpor and shows its therapeutic potential in cancer treatment.

The paper introduces MEMORY, a method to identify GEARs associated with cancer prognosis, finding mitosis-related genes in LUAD and immunity-related genes in BRCA.

This study shows EED inactivation impairs SCLC tumorigenesis and drives LUAD-to-SCLC transformation, highlighting its role in maintaining SCLC neuroendocrine identity.

This study identifies PIK3CA mutations as drivers of cachexia in EGFR-mutant lung cancer, showing that osimertinib can mitigate cachexia but chemotherapy fails, with aspirin offering a potential treatment.

CauFinder identifies and steers cell-state and phenotype transitions by causal disentanglement learning, outperforming existing methods in simulated and real-world scenarios.

The paper identifies adeno-to-squamous transition (AST) as a mechanism of resistance to KRAS inhibitors in LKB1 mutant lung cancer and links KRT6A expression to poor patient outcomes.

This paper introduces a sample-specific network method to construct individual-specific disease networks from single-sample expression data, identifying disease modules and driver genes without sequencing.