Ahyeon Hwang

Massively parallel characterization of psychiatric disorder-associated and cell-type-specific regulatory elements in the developing human cortex

The paper identifies 46,802 enhancers and 164 psychiatric disorder variants with regulatory effects in the developing cortex and organoids using massively parallel reporter assays and deep learning.

Single-cell genomics and regulatory networks for 388 human brains

The paper processes single-nuclei multi-omics data from 388 human brains to identify regulatory elements and build cell-type networks, revealing changes in aging and neuropsychiatric disorders.

Integrated single cell and unsupervised spatial transcriptomic analysis defines molecular anatomy of the human dorsolateral prefrontal cortex

The paper generates a molecular neuroanatomical map of the human prefrontal cortex using spatial transcriptomics and single nucleus RNA-sequencing, revealing novel spatial domains and cell-cell interactions linked to psychiatric disorders.

Characterizing dysregulations via cell-cell communications in Alzheimer's brains using single-cell transcriptomes

This study uses single-cell transcriptomes to analyze cell-cell communication changes in Alzheimer's brains, identifying dysregulated signaling pathways and gene connections linked to disease.

Validation of Enhancer Regions in Primary Human Neural Progenitor Cells using Capture STARR-seq

The paper identifies and validates enhancer regions in primary human neural progenitor cells using capture STARR-seq, linking them to genes involved in psychiatric disease pathways.

DeepVelo: Data-driven Single-cell Transcriptomic Deep Velocity Field Learning with Neural Ordinary Differential Equations

DeepVelo models single-cell transcriptome dynamics using neural ODEs, improving velocity field accuracy and identifying developmental driver genes.

Cortical surface electrical potentials are composed of multiple bandlimited frequency components, including high-gamma

The paper analyzes cortical surface electrical potentials (CSEPs) to show that high-gamma components are band-limited, not broadband, and identifies multiple band-limited frequency components in ECoG signals.