sce_top101genes: Molecule Counts of the 101 Significant Cyclical Genes in the...
In jhsiao999/peco: A Supervised Approach for Predicting Cell Cycle Progression Using Single-Cell RNA-seq Data
Description
A SingleCellExperiment object containing
processed molecule count data (obtained after gene and sample
filtering). The colData slot contains sample phenotype
information.
Format
A SingleCellExperiment object with 888 samples and
the 101 significant cyclic genes. Also, sce_top101genes$theta
contains the inferred angles (FUCCI phase) for each cell.
Examples
1
2
3
library(SingleCellExperiment)
data(sce_top101genes)
dim(sce_top101genes@colData)
jhsiao999/peco documentation built on Nov. 21, 2020, 5:34 p.m.
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Description
A SingleCellExperiment object containing
processed molecule count data (obtained after gene and sample
filtering). The colData slot contains sample phenotype
information.
Format
A SingleCellExperiment object with 888 samples and
the 101 significant cyclic genes. Also, sce_top101genes$theta
contains the inferred angles (FUCCI phase) for each cell.
Examples
1 2 3 | library(SingleCellExperiment)
data(sce_top101genes)
dim(sce_top101genes@colData)
|
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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