A deterministic, synthetic embedding with common single-cell visualization semantics. It is intended only for package examples and does not represent biological measurements.
Format
A data frame with 720 rows and 12 variables:
- cell_id
Unique synthetic cell identifier.
- UMAP1, UMAP2
Synthetic two-dimensional embedding coordinates.
- cell_type
Six cell-identity factor levels.
- lineage
Lymphoid or myeloid parent lineage.
- sample
Four sample factor levels.
- condition
Control or stimulated condition.
- MS4A1
Synthetic non-negative expression for a B-cell marker.
- signed_score
Synthetic score centered around zero.
- pseudotime
Synthetic trajectory value in
[0, 1].- percent_mito
Synthetic mitochondrial-read percentage.
- n_counts
Synthetic library-size count.
Examples
data(sc_example)
head(sc_example)
#> cell_id UMAP1 UMAP2 cell_type lineage sample condition MS4A1
#> 1 cell_0001 -3.163181 1.418680 B cell Lymphoid Sample 1 Control 3.850
#> 2 cell_0002 -3.086307 1.324727 B cell Lymphoid Sample 2 Control 3.899
#> 3 cell_0003 -2.846043 1.502208 B cell Lymphoid Sample 3 Stimulated 4.145
#> 4 cell_0004 -2.992542 1.337283 B cell Lymphoid Sample 4 Stimulated 4.189
#> 5 cell_0005 -2.976398 1.365888 B cell Lymphoid Sample 1 Control 4.029
#> 6 cell_0006 -3.212464 1.536336 B cell Lymphoid Sample 2 Control 4.065
#> signed_score pseudotime percent_mito n_counts
#> 1 -0.494 0.000 8.66 2279
#> 2 -0.473 0.007 8.78 2257
#> 3 1.341 0.013 8.87 2483
#> 4 1.349 0.020 10.44 2460
#> 5 -0.451 0.027 8.98 2185
#> 6 -0.457 0.034 9.00 2160