yan: Single cell RNA-Seq data extracted from a publication by Yan...
In DataSlingers/IMPACC: Fast and Interpretable Consensus Clustering via Minipatch Learning
yan R Documentation
Single cell RNA-Seq data extracted from a publication by Yan et al.
Description
Single cell RNA-Seq data extracted from a publication by Yan et al.
Usage
data(yan)
Format
An list of 3 objects. raw: data.frame with 20286 rows and 90 columns, before log2 transformation; sc_cnt: data.frame with 20286 rows and 90 columns, after log2 transformation; sc_label: character cell labels provided by authors of the original publication.
Source
http://dx.doi.org/10.1038/nsmb.2660
For gene expression dataframe, columns represent cells, rows represent genes expression values.
DataSlingers/IMPACC documentation built on April 29, 2023, 8:16 p.m.
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| yan | R Documentation |
Single cell RNA-Seq data extracted from a publication by Yan et al.
Description
Single cell RNA-Seq data extracted from a publication by Yan et al.
Usage
data(yan)
Format
An list of 3 objects. raw: data.frame with 20286 rows and 90 columns, before log2 transformation; sc_cnt: data.frame with 20286 rows and 90 columns, after log2 transformation; sc_label: character cell labels provided by authors of the original publication.
Source
http://dx.doi.org/10.1038/nsmb.2660 For gene expression dataframe, columns represent cells, rows represent genes expression values.
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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