An example PBMC data with SingleCellExperiment format, including 3000 cells and 800 genes.
sim_data_sceAn example PBMC data with SingleCellExperiment format
A DataFrame with 3000 rows and 1 column, storing simulated gene information.
A DataFrame with 800 rows and 3 columns, representing metadata for each cell.
A list containing two elements that provide additional global metadata about the experiment.
A CompressedGRangesList object providing genomic range data associated with each row/gene.
A DataFrame with 800 rows and 8 columns, detailing cell-level metadata.
A SimpleAssay object with matrix dimensions 3000x800, representing the gene expression matrix.
A DataFrame linked with assays, providing gene-level metadata.
Simulation data to exemplify the usage of the method.
The "sim_data_sce" object is designed to serve as a teaching and development aid for methods that require complex single-cell expression data. It includes several typical features found in single-cell datasets, such as varied levels of gene expression and metadata describing both cells and genes.
The data within this object are entirely synthetic and should not be used for real analysis. The main use case is for testing and development of single-cell analysis methodologies.
The data were generated using a combination of random number generation for expression values and curated sources for metadata to simulate realistic experimental scenarios.
data("sim_data_sce")