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
tstats_Human_DLPFC_snRNAseq_Nguyen_topLayer R Documentation
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 Nov. 4, 2024, 11:57 a.m.
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| tstats_Human_DLPFC_snRNAseq_Nguyen_topLayer | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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