single.cell.mrna.florens: Single cell gene expression data from 223 stem cells from the...
In SamGG/densitycut: An Efficient and Versatile Topological Approach to Clustering Biological Data
Description
Usage
Format
References
Description
Single cell gene expression data from 223 stem cells
from the subentricular zone of eight-week-old male mice
Usage
1
Format
A list with two fields
x. A cell-gene matrix of gene expression values
metadata. A list with only one field: the cell type of each cell
References
Llorens-Bobadilla, E., Zhao, S., Baser, A., Saiz-Castro, G., Zwadlo, K., and Martin-Villalba, A. (2015).
Single-cell transcriptomics reveals a population of dormant neural stem cells
that become activated upon brain injury. Cell Stem Cell. 10.1016/j.stem.2015.07.002.
SamGG/densitycut documentation built on Oct. 30, 2019, 11:48 p.m.
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Description Usage Format References
Description
Single cell gene expression data from 223 stem cells from the subentricular zone of eight-week-old male mice
Usage
1 |
Format
A list with two fields
x. A cell-gene matrix of gene expression values
metadata. A list with only one field: the cell type of each cell
References
Llorens-Bobadilla, E., Zhao, S., Baser, A., Saiz-Castro, G., Zwadlo, K., and Martin-Villalba, A. (2015). Single-cell transcriptomics reveals a population of dormant neural stem cells that become activated upon brain injury. Cell Stem Cell. 10.1016/j.stem.2015.07.002.
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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