Shamini Ayyadhury

The paper analyzes spatial gene expression and tumor-microenvironment interactions in IDH-mutant gliomas across malignant transformation, finding reduced proliferation at the infiltrative margin in higher-grade tumors.

The paper shows that glioblastoma stem cells form spatial patterns correlated with their transcriptional state, using image analysis to link morphology and gene expression.

The paper integrates spatial multi-omics data from diffuse gliomas to identify locoregional metabolomic regulators linked to glioma growth and treatment resistance.

This study compares five data integration methods for single-cell RNA sequencing of cancer samples, finding STACAS and fastMNN most effective in correcting batch effects while preserving biological variability.