Prashant S. Emani

Dynamic clustering of genomics cohorts beyond race, ethnicity--and ancestry

The paper introduces a dynamic clustering approach for genomics cohorts based on trait-specific genomic signals, revealing patterns beyond predefined racial or continental categories.

The Cellular Underpinnings of the Human Cortical Connectome

The paper shows that cell type distributions in the cortex are spatially aligned with functional organization patterns from fMRI.

Dynamic convergence of neurodevelopmental disorder risk genes across neurodevelopment

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

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.

Assessing and mitigating privacy risk of sparse, noisy genotypes by local alignment to haplotype databases

PLIGHT quantifies privacy risks from sparse, noisy genotypes by aligning them to haplotype databases and provides sanitization tools to mitigate reidentification.

Insights from Incorporating Quantum Computing into Drug Design Workflows

This paper introduces HypaCADD, a hybrid classical-quantum workflow for drug design that uses quantum machine learning to predict mutation impacts, showing performance comparable to classical methods.

Broad transcriptomic dysregulation across the cerebral cortex in ASD

The paper identifies widespread transcriptomic dysregulation across multiple cortical regions in ASD, showing regional variation and genetic enrichment in synaptic and protein folding genes.

Private information leakage from functional genomics data: Quantification with calibration experiments and reduction via data sanitization protocols

The paper quantifies privacy leakage in functional genomics data and proposes a data-sanitization protocol to reduce it while preserving utility.

An integrative ENCODE resource for cancer genomics

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.