Irina Matetovici

SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks

SCENIC+ infers enhancer-driven gene regulatory networks from single-cell multi-omics data, improving TF identification and enabling analysis of regulatory dynamics and perturbations.

Enhancer grammar of liver cell types and hepatocyte zonation states

The paper maps enhancer gene regulatory networks (GRNs) in liver cell types and identifies TFs governing hepatocyte zonation states using multiomics and deep learning.

Comparative analysis of antibody- and lipid-based multiplexing methods for single-cell RNA-seq

This study compares antibody- and lipid-based hashing methods for single-cell RNA-seq, finding antibody-based hashing more efficient and cost-effective for clinical samples.

The Glossina Genome Cluster: Comparative Genomic Analysis of the Vectors of African Trypanosomes

The paper presents a comparative genomic analysis of six Glossina species, identifying genetic features related to their unique biology and vectorial capacity.