Kathryn M. Murphy

This study identifies sex- and age-specific developmental patterns of ssRNA virus receptor expression in the human brain using postmortem transcriptomic data.

The paper quantifies PV+ neuron morphology using a data-driven approach and identifies 13 distinct morphologies, aligning with transcriptomic categories and showing cortical and transcriptomic biases.

The paper applies sparse k-means clustering to human brain development data to identify age-related clusters and reveal lifespan-stage changes in the visual cortex.

The paper introduces a method to classify visual cortex plasticity using high-dimensional data analysis and provides example R code and an R package for implementation.

The paper investigates treatment-induced changes in glutamatergic and GABAergic receptors in the visual cortex following amblyopia treatment in an animal model, identifying distinct plasticity phenotypes associated with different treatment outcomes.

The paper examines changes in glutamatergic and GABAergic protein expression in visual cortex after monocular deprivation, finding that binocular vision most closely restores expression levels.

The paper provides two workflows and R code for analyzing high-dimensional protein and gene data from visual cortex studies, focusing on plasticity and development.