Latest

• Network nature of ligand-receptor interactions underlies disease comorbidity in the brain
• A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex
• Systems biology dissection of PTSD and MDD across brain regions, cell types, and blood
• Analysis of gene expression in the postmortem brain of neurotypical Black Americans reveals contributions of genetic ancestry.
• lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression
• Transcriptomic analysis of the human habenula in schizophrenia
• Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortex
• Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
• escheR: Unified multi-dimensional visualizations with Gestalt principles
• Data-driven identification of total RNA expression genes for estimation of RNA abundance in heterogeneous cell types highlighted in brain tissue
• Harnessing the power of spatially-resolved transcriptomics one step at a time
• Harnessing the power of spatially-resolved transcriptomics one step at a time
• Analysis of the caudate nucleus transcriptome in individuals with schizophrenia highlights effects of antipsychotics and new risk genes
• 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