zhong: Single cell RNA-Seq data extracted from a publication by...
In wikiselev/clustools: Tools for cluster analysis of single cell high throughput data
Description
Usage
Format
Details
Description
Source: Biase, F. H., Cao, X. & Zhong, S. Cell fate inclination within 2-cell
and 4-cell mouse embryos revealed by single-cell RNA sequencing. Genome Res.
24, 1787–1796 (2014).
Usage
1
Format
1
2
3
4
Details
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57249
Columns represent cells, rows represent genes expression values. Colnames
respresent indexes of cell clusters (known information based on the
experimental protocol). There are 49 cells and 3 clusters in this dataset.
wikiselev/clustools documentation built on May 4, 2019, 5:25 a.m.
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Description Usage Format Details
Description
Source: Biase, F. H., Cao, X. & Zhong, S. Cell fate inclination within 2-cell and 4-cell mouse embryos revealed by single-cell RNA sequencing. Genome Res. 24, 1787–1796 (2014).
Usage
1 |
Format
1 2 3 4 |
Details
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57249
Columns represent cells, rows represent genes expression values. Colnames respresent indexes of cell clusters (known information based on the experimental protocol). There are 49 cells and 3 clusters in this dataset.
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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