Hyojung Paik

GENOAR enables scalable, AI-compatible single-cell transcriptomic analysis of over 54 million cells from humans and mice, outperforming human experts in data retrieval and enabling new biological insights.

GOLDEN deconvolves genetic heterogeneity in spatial transcriptomic data by integrating gene expression and allele information, achieving high accuracy in fraction estimation and classification.

ELiAH2 expands the E3 ligase atlas by integrating tissue-specific RNA-seq and docking data to support targeted protein degradation candidate prioritization.

The paper identifies maternal immune signatures in repeated pregnancy loss using single-cell RNA sequencing and machine learning, linking them to potential drug repurposing candidates.

This study shows UPR signaling promotes myeloid cell production and collaborates with Jak2V617F mutation to exacerbate disease in polycythemia vera.

The paper identifies SPP1 and CD44 as influencers of inflammation in preeclampsia by analyzing single-cell transcriptional profiles of placental immune cells.