Hairong Lv

EpiZoo is a cross-species single-cell epigenomic foundation model that uses DNA sequence-aware architecture to improve cell type annotation and mutation prioritization across species.

This paper introduces PRESENT, a contrastive learning framework for integrating spatially resolved multi-omics data across samples and modalities, showing improved performance in detecting spatially functional domains and biological regulatory mechanisms.

CREATE identifies cell-type-specific cis-regulatory elements using a deep learning model that integrates genomic sequences, chromatin accessibility, and chromatin interactions.

The paper introduces hECA, a cell-centric human Ensemble Cell Atlas, which integrates scRNA-seq data from multiple studies to enable targeted data retrieval, multi-view presentations, and customizable reference creation for cell type annotations.

DISMIR detects cancer using cfDNA methylation and sequence data with high accuracy at low sequencing depth.

DeepCAPE predicts enhancers using DNA sequences and DNase-seq data, outperforming existing methods and enabling cell line-specific identification.