View source: R/FletcherOlfactoryData.R
FletcherOlfactoryData | R Documentation |
Obtain the mouse olfactory epithelial HBC stem cell differentiation dataset from Fletcher et al. (2017).
FletcherOlfactoryData(
filtered = TRUE,
ensembl = FALSE,
location = TRUE,
legacy = FALSE
)
filtered |
Logical scalar indicating whether to filter out cells that were not used by the authors. |
ensembl |
Logical scalar indicating whether the output row names should contain Ensembl identifiers. |
location |
Logical scalar indicating whether genomic coordinates should be returned. |
legacy |
Logical scalar indicating whether to pull data from ExperimentHub. By default, we use data from the gypsum backend. |
Column metadata is scraped from GEO, using both the author-supplied “phenoData” per-cell annotations and the author-supplied “protocolData” per-cell annotations. The former includes information about the animals and the instruments, while the latter contains QC statistics.
We also included the clustering results from the authors' analysis.
If filtered=TRUE
, only the cells used by the authors in their cluster analysis are returned.
Otherwise, the cells not used by the authors will have NA
in the clustering columns of the colData
.
If ensembl=TRUE
, the gene symbols are converted to Ensembl IDs in the row names of the output object.
Rows with missing Ensembl IDs are discarded, and only the first occurrence of duplicated IDs is retained.
If location=TRUE
, the coordinates of the Ensembl gene models are stored in the rowRanges
of the output.
All data are downloaded from ExperimentHub and cached for local re-use.
Specific resources can be retrieved by searching for scRNAseq/fletcher-olfactory
.
A SingleCellExperiment object with a single matrix of read counts.
Davide Risso
Fletcher R et al. (2017). Deconstructing olfactory stem cell trajectories at single-cell resolution. Cell Stem Cell 20, 817-30.
sce <- FletcherOlfactoryData()
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