Jessika Adrian

The paper identifies cell type-specific and shared chromatin-associated protein co-association modules using ChIP-Seq and machine learning in K562 and HepG2 cells.

The paper evaluates 23 imputation models for cross-cell type epigenomic data, finding quality assessment challenging due to distributional shifts, data availability, and redundant metrics.

The paper introduces the EN-TEx resource, which provides personal epigenomes and variant-impact models across multiple tissues, revealing allele-specific loci and their associations with GWAS loci.

The paper develops a custom ENCODE annotation for cancer genomics, highlighting TF-RBP interactions and network rewiring during oncogenesis, and validates findings using experimental assays.

This study identifies NF90/ILF3 as a transcription factor that promotes proliferation over differentiation in K562 cells by hierarchically regulating key transcription factors.