Prashanthi Ravichandran

Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens

This study creates a spatiomolecular atlas of the human nucleus accumbens using spatial transcriptomics and single-nucleus RNA sequencing, revealing spatial gradients and conserved features across species.

Integrating gene expression and imaging data across Visium capture areas with visiumStitched

The paper introduces visiumStitched, a tool for stitching Visium spatial transcriptomics data across multiple capture areas, enabling seamless analysis without data loss.

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.

Aggregation of recount3 RNA-seq data improves the inference of consensus and tissue-specific gene co-expression networks.

The paper aggregates RNA-seq data to infer consensus and tissue-specific gene co-expression networks, finding that larger sample sizes improve network quality and trait heritability annotations.