tstats_Human_DLPFC_snRNAseq_Nguyen_topLayer: Cell cluster t-statistics from Tran et al

In LieberInstitute/spatialLIBD: spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data

Cell cluster t-statistics from Tran et al

Description

Using the DLPFC snRNA-seq data from Matthew N Tran et al https://doi.org/10.1016/j.neuron.2021.09.001 we computed enrichment t-statistics for the cell clusters. The Tran et al data has been subset to the top 100 DLPFC layer markers found in Maynard, Collado-Torres, et al 2021. This data is used in examples such as in layer_stat_cor_plot(). The Tran et al data is from the pre-print version of that project.

Usage

tstats_Human_DLPFC_snRNAseq_Nguyen_topLayer

Format

A matrix with 692 rows and 31 variables where each column is a given cell cluster from Tran et al and each row is one gene. The row names are Ensembl gene IDs which are used by layer_stat_cor() to match to our modeling results.

Source

https://github.com/LieberInstitute/HumanPilot/blob/master/Analysis/Layer_Guesses/dlpfc_snRNAseq_annotation.R and https://github.com/LieberInstitute/spatialLIBD/blob/master/dev/02_dev.R#L107-L194.

LieberInstitute/spatialLIBD documentation built on July 17, 2024, 5:05 a.m.