Chen Wang

This paper introduces MorphoXAI, a human-in-the-loop framework for explaining AI predictions on whole-slide images, showing it provides accurate and interpretable histomorphological explanations at both global and local levels.

The paper identifies a rare multipotent epithelial cell in the fallopian tube as a potential cell-of-origin for high-grade serous ovarian cancer using multi-omic profiling and organoid models.

The paper identifies miR-29 and ATG9A as regulators of mitophagy and discovers EOPD-linked variants in ATG9A.

This study shows that oxidative stress modifies miR-483 to 8OH-G miR-483, leading to endothelial dysfunction and increased atherosclerosis risk through altered targetomes.

The paper integrates single-cell chromatin and transcriptomic data from human scalp to identify gene regulatory mechanisms and causal variants in hair and skin diseases.

This paper improves coverage profile correction in shallow-depth ccfDNA WGS using multi-distance learning, reducing variability and improving trisomy screening performance.

This paper demonstrates that epigenetic reprogramming using OSK genes can reverse age-related and injury-induced vision loss in mice by resetting DNA methylation patterns and promoting axon regeneration.

This paper introduces ProGAdNet, a proximal gradient algorithm for joint inference of differential gene networks, showing improved accuracy and speed over existing methods in identifying network changes in breast cancer data.

The paper evaluates nine FFPE DNA extraction methods for NGS, finding average WES coverage of ~20-30X and 99% genotype concordance with targeted panels.