Zhiyuan Chu

StarTrak infers cellular migration and phylogeny by integrating somatic variants, spatial data, and transcriptomics at single-pixel resolution in spatial genomics.

ASTRO is an automated pipeline for spatial transcriptomics analysis, optimized for FFPE samples and capable of detecting coding and non-coding RNAs.

This study identifies convergent biological pathways in mature neurons affected by neurodevelopmental disorder risk genes and shows drug candidates can ameliorate behavioral phenotypes.

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.

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.

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.