Jiayi Ji

This paper introduces TEAMKidney, a deep learning framework for automated segmentation and quantification of TEM images, showing improved accuracy and efficiency over existing methods.

This study shows that ZEB2 is essential for ureteral smooth muscle cell differentiation and maintenance, as its deletion in mice causes hydroureter and hydronephrosis.

This paper develops a deep learning method to automate measurement of glomerular basement membrane and podocyte foot process widths in TEM images of podocytopathy mouse models, showing comparable accuracy to manual methods.

MiXcan performs cell-type-specific transcriptome-wide association studies, identifying more breast cancer susceptibility genes than conventional methods by considering cell-type heterogeneity.

iProMix decomposes bulk proteomic data to identify ACE2-protein associations in epithelial cells, revealing sex-specific interferon pathways linked to ACE2 abundance in lung adenocarcinoma tissues.

ProTrack provides an interactive web tool for exploring CPTAC proteogenomic data across multiple cancer types, enabling users to query and visualize multi-omics profiles without coding.

The paper introduces iProFun, a multi-omics tool to identify DNA copy number and methylation effects on proteogenomic traits in ovarian cancer, finding 500 and 122 genes with cis-associations.