Corey Weistuch

This study uses single-nucleus multiome sequencing and spatial transcriptomics to analyze liposarcoma subtypes, revealing distinct cellular states, immune features, and gene regulatory circuits.

ORCO is an unsupervised network-based tool that computes Ollivier-Ricci curvature to analyze biological network robustness and identify therapeutic targets.

The paper identifies transcriptional drift in aging C. elegans worms, showing upregulated sensory proteins and downregulated growth/metabolism genes, and proposes a mechanistic model involving ligand binding.

The paper maps the differentiation landscape of osteosarcoma using single-cell data to identify gene modules linked to cell fate and patient survival.

This study examines how D--hydroxybutyrate affects hippocampal circuit function during acute insulin resistance in mice, showing it rescues neuronal activity and synaptic function.

The paper investigates how ketosis affects brain signaling by reversing age-related desynchronization observed in resting-state fMRI, using EEG data and a neural mass model.

This paper introduces a method based on the maximum entropy principle to model compositional data, demonstrating its effectiveness in capturing inter-species relationships and gene-gene interactions.

The paper analyzes ion gradient variability in a neuronal model to show how depolarization affects neural activity and inter-regional coherence, aligning with human neuroimaging observations.

This study shows that aging reduces brain network synchrony, modeled as a critical point in communication strength, and demonstrates that metabolic changes can drive these global shifts.