single.cell.mrna.pollen: Single cell gene expression data from 11 populations
In SamGG/densitycut: An Efficient and Versatile Topological Approach to Clustering Biological Data
Description
Usage
Format
References
Description
Single cell gene expression data from 11 populations
Usage
1
Format
A list with two fields
x. A cell-gene matrix of gene expression values
metadata. A list with one field: the cell type of each cell
References
Pollen, A. A., Nowakowski, T. J., Shuga, J., Wang, X., Leyrat, A. A., Lui, J. H., Li, N.,
Szpankowski, L., Fowler, B., Chen, P., et al. (2014).
Low-coverage single-cell mrna sequencing reveals cellular heterogeneity
and activated signaling pathways in developing cerebral cortex.
Nat. Biotechnol., 32(10), 1053-1058.
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 11 populations
Usage
1 |
Format
A list with two fields
x. A cell-gene matrix of gene expression values
metadata. A list with one field: the cell type of each cell
References
Pollen, A. A., Nowakowski, T. J., Shuga, J., Wang, X., Leyrat, A. A., Lui, J. H., Li, N., Szpankowski, L., Fowler, B., Chen, P., et al. (2014). Low-coverage single-cell mrna sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex. Nat. Biotechnol., 32(10), 1053-1058.
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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