lpsdata: Sinlge-cell RNA-seq data for BMDC cells before and after LPS...
In zji90/TSCAN: TSCAN: Tools for Single-Cell ANalysis
lpsdata R Documentation
Sinlge-cell RNA-seq data for BMDC cells before and after LPS stimulation
Description
The dataset contains 16776 rows and 131 columns. Each row represent a gene and each column represent a single cell. This dataset is a subset of single-cell RNA-seq data provided by GEO GSE48968. Only unstimulated cells and cells after 6h of LPS stimulation are retained for the purpose of demonstration. Genes which have raw expression values of greater than zero in at least one cell are retained. For the original dataset please refer to GSE48968 on GEO (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48968).
Format
A matrix with 16776 rows and 131 variables
Source
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48968
References
Shalek, A. K., Satija, R., Shuga, J., Trombetta, J. J., Gennert, D., Lu, D., ... & Regev, A. (2014). Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature.
zji90/TSCAN documentation built on Sept. 14, 2022, 10:56 a.m.
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| lpsdata | R Documentation |
Sinlge-cell RNA-seq data for BMDC cells before and after LPS stimulation
Description
The dataset contains 16776 rows and 131 columns. Each row represent a gene and each column represent a single cell. This dataset is a subset of single-cell RNA-seq data provided by GEO GSE48968. Only unstimulated cells and cells after 6h of LPS stimulation are retained for the purpose of demonstration. Genes which have raw expression values of greater than zero in at least one cell are retained. For the original dataset please refer to GSE48968 on GEO (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48968).
Format
A matrix with 16776 rows and 131 variables
Source
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48968
References
Shalek, A. K., Satija, R., Shuga, J., Trombetta, J. J., Gennert, D., Lu, D., ... & Regev, A. (2014). Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature.
R Package Documentation
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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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