zheng4: A SingelCellExperiment object containing 2,192 genes and...
In JSB-UCLA/scPNMF: scPNMF: sparse gene encoding of single cells to facilitate gene selection for targeted gene profiling
zheng4 R Documentation
A SingelCellExperiment object containing 2,192 genes and 3,994 cells
Description
A SingelCellExperiment object containing 2,192 genes and 3,994 cells
Usage
data("zheng4")
Format
A SingelCellExperiment object with 2,192 rows (genes) and 3,994 cols (cells).
Source
Duo, A., Robinson, M. D., and Soneson, C. (2018). A systematic performance evaluation of clustering methods for single-cell rna-seq data. F1000Research, 7.
JSB-UCLA/scPNMF documentation built on July 19, 2023, 10:28 p.m.
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| zheng4 | R Documentation |
A SingelCellExperiment object containing 2,192 genes and 3,994 cells
Description
A SingelCellExperiment object containing 2,192 genes and 3,994 cells
Usage
data("zheng4")
Format
A SingelCellExperiment object with 2,192 rows (genes) and 3,994 cols (cells).
Source
Duo, A., Robinson, M. D., and Soneson, C. (2018). A systematic performance evaluation of clustering methods for single-cell rna-seq data. F1000Research, 7.
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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