Description Usage Format Details Source Examples
Contains sample data for a functional single-cell experiment.
1 |
An object of class FunctionalSingleCellExperiment
of length 2.
There are two SingleCellExperiments
:
rnaseq
: a SingleCellExperiment
object containing a single-cell mRNA sequencing
(10x Genomics V2 3 prime) cell/gene counts matrix in the counts
slot.
Log-normalized counts are in the logcounts
slot.
haircut
: a SingleCellExperiment
object containing a Haircut experiment using DNA
repair oligos. Counts are in the counts
slot, and centered log-ratio
normalized counts are in the logcounts
slot.
Haircut repair substrates include:
A "normal" DNA oligo (Normal_
)
a ribonucleotide (rG) at position 45 (Ribo_
)
an Abasic site at position 45 (Abasic_
)
a uracil:adenosine base-pair, with uracil at position 45 (Uracil_
)
a uracil:guanosine base-pair, with uracil at position 45 (GU_
)
Dimensionality reduction calculations are in the rnaseq
experiment,
including PCA
, UMAP
, and TSNE
slots. In addition, clusters determined
by cluster_kmeans()
and cluster_leiden()
are available as colData
.
Generated by data-raw/fsce_small.R
.
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# Individual experiments
fsce_small[["rnaseq"]]
fsce_small[["haircut"]]
# Gene and activity names (first 5 items)
rownames(fsce_small[["rnaseq"]])[1:5]
rownames(fsce_small[["haircut"]])[1:5]
# subset with `[` using `[features, cell_ids, experiments]`
features <- c("Uracil_45", "TP53")
cell_ids <- c("TGCGGGTGTAGAGTGC", "CTACGTCCACCACGTG")
fsce_small[features, cell_ids, ]
# dimensionality reduction results
SingleCellExperiment::reducedDimNames(fsce_small[["rnaseq"]])
# UMAP results (first 5 rows)
SingleCellExperiment::reducedDim(fsce_small[["rnaseq"]], "UMAP")[1:5, ]
# k-means cluster IDs
SingleCellExperiment::colData(fsce_small[["rnaseq"]])
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