Ekaterina Krymova

The paper maps the lipidomic architecture of the adult mouse brain at micrometric scale, revealing spatial lipid organization and its functional relevance.

This study identifies molecular programs in macrophages stimulated by tumor-derived cues, linking them to clinically relevant TAM states and functions.

UniversalEPI predicts cell type-specific and differential chromatin interactions using DNA sequence and ATAC-seq data, showing robust performance across cell types and conditions.

The paper evaluates deep learning architectures for high-resolution chromatin accessibility prediction, finding that early feature extraction, not downstream architecture, primarily determines performance.