Megan Crow

Systematic assessment of machine learning-based variant annotation methods for rare variant association testing

The paper benchmarks five machine learning-based variant annotation methods for rare variant association testing across 350,377 UK Biobank participants, finding CADD provides best signal separation and GPN-MSA highest enrichment for loss-of-function intolerant genes.

The transcriptional legacy of developmental stochasticity

Longitudinal gene expression in identical armadillo quadruplets reveals a major role for developmental stochasticity.

Comparative transcriptomics reveals human-specific cortical features

This study uses single nucleus transcriptomics to compare human and non-human primate cortical tissues, identifying human-specific gene expression patterns and their potential functional roles.

Conserved coexpression at single cell resolution across primate brains

The paper uses single-cell expression data from five primates to identify conserved and divergent gene coexpression patterns in the middle temporal gyrus, revealing human-specific genes associated with brain disorders.

Evolution of cellular diversity in primary motor cortex of human, marmoset monkey, and mouse

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

An integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types

The paper creates a comprehensive atlas of mouse primary motor cortex cell types using integrated transcriptomic and epigenomic data from over 600,000 samples.

Multiscale Co-expression in the Brain

The paper analyzes scRNA-seq data from the primary motor cortex to show that gene-gene co-expression relationships are consistent across different scales, revealing a multiscale regulatory landscape.

Coexpression reveals conserved mechanisms of transcriptional cell identity

The paper quantifies the conservation of gene coexpression patterns across 14 species to reveal conserved mechanisms of transcriptional cell identity.

CoCoCoNet: Conserved and Comparative Co-expression Across a Diverse Set of Species

CoCoCoNet identifies conserved gene modules and compares co-expression networks across 14 species, demonstrating conservation in nucleolus genes and translating autism mechanisms to model organisms.

Not by systems alone: replicability assessment of disease expression signals

The paper assesses the replicability of disease expression signals across pedigrees and identifies genes missed by systems methods.

Addressing the looming identity crisis in single cell RNA-seq

The paper introduces MetaNeighbor, a framework to assess cell type replicability across scRNA-seq datasets and identifies replicable neuronal subtypes with robust marker genes.

Transcriptional Architecture of Synaptic Communication Delineates Cortical GABAergic Neuron Identity

The paper identifies a transcriptional architecture that defines GABAergic neuron identity through combinatorial gene expression patterns.