Elias Farr

The paper builds a spatiotemporal map of human pilosebaceous unit development using single-cell multiomics and machine learning, showing how epithelial-mesenchymal interactions drive organogenesis and how sebaceous gland programs are disrupted in tumors.

This study creates a spatially-resolved molecular atlas of human skin and uses deep learning to identify 26 niches, revealing novel immune memory structures in inflammatory skin diseases.

MetalinksDB provides a comprehensive database of metabolite-protein interactions, enabling context-specific analysis of metabolite-mediated cell-cell communication.

This study presents a single-cell transcriptome atlas of Plasmodium falciparum sexual development, revealing transcriptional heterogeneity in naturally infected individuals.

LIANA+ is a framework for analyzing cell-cell communication in single-cell and spatial transcriptomics data, integrating multiple methods and supporting multi-omics data.

SPOT is a web tool for rapid comparative transcriptome analysis, enabling differential expression and gene ranking based on user-defined profiles.