Behnaz Bozorgui

This paper evaluates cross-slice protein imputation methods, finding that learning-based approaches outperform alignment-based ones for imputation, while alignment-based methods are better for interpolation and 3D reconstruction.

CROCHET is a pipeline for automated analysis of single-cell spatialomic data and creation of visual atlases, supporting diverse data modalities and downstream analyses.

This study creates a spatial proteomic atlas of SBA tumor-immune microenvironment, revealing cell interactions and immune checkpoint patterns linked to patient survival and therapy.

The paper introduces ImogiMap, a statistical framework to identify tumor-immune interactions by analyzing their co-association with immune phenotypes, and identifies the CD86/CD70 axis as a potential immunotherapy target in endometrial carcinoma.