Latest

• Harnessing the power of spatially-resolved transcriptomics one step at a time
• escheR: Unified multi-dimensional visualizations with Gestalt principles
• Harnessing the power of spatially-resolved transcriptomics one step at a time
• Genetic and environmental contributions to ancestry differences in gene expression in the human brain
• Integrated single cell and unsupervised spatial transcriptomic analysis defines molecular anatomy of the human dorsolateral prefrontal cortex
• Analysis of the caudate nucleus transcriptome in individuals with schizophrenia highlights effects of antipsychotics and new risk genes
• Data-driven Identification of Total RNA Expression Genes (TREGs) for Estimation of RNA Abundance in Heterogeneous Cell Types
• R/Bioconductor-powered Team Data Science (TLDR 2022)
• Deconvolution of RNA-seq data in the postmortem human brain: the present and preparing the future
• Amygdala and anterior cingulate transcriptomes from individuals with bipolar disorder reveal downregulated neuroimmune and synaptic pathways
• Genetics and Brain Transcriptomics of Completed Suicide
• Single-nucleus transcriptome analysis reveals cell-type-specific molecular signatures across reward circuitry in the human brain
• SPEAQeasy: a scalable pipeline for expression analysis and quantification for R/Bioconductor-powered RNA-seq analyses