Rojashree Jayakumar

TRACE provides a framework for creating traceable biomedical resources, demonstrated with a single-cell glaucoma dataset, enabling reproducible analyses and resource reuse.

The paper introduces CCIDeconv, a method to deconvolve whole-cell cell-cell interactions into subcellular compartments using scRNA-seq data and spatial transcriptomics datasets.

This study evaluates how large language models generate summaries of bioinformatics analyses, finding they produce readable and safe summaries but often misinterpret visualizations and lack novel insights.

This study identifies molecular changes in white matter hyperintensities in Alzheimer's disease using transcriptomic analysis of brain regions and blood vessels.

This study shows that cryopreservation of CSF cells using FBS/DMSO or Recovery media preserves transcriptomic integrity for single-cell analysis, enabling accurate cell type detection and gene expression profiling.

The paper analyzes endothelial cell heterogeneity across brain regions in Alzheimer's disease using single nucleus RNAseq, revealing region-specific gene expression changes and disease-related transcriptomic alterations.

This study uses single-nucleus RNA-sequencing to analyze astrocyte transcriptomic changes across the spatiotemporal progression of Alzheimer's disease, revealing gene expression trajectories and heterogeneity.