counts_mel: Cell data from simulated single cell epigenomes from 5 bulk...
In aertslab/cisTopic: cisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data
counts_mel R Documentation
Cell data from simulated single cell epigenomes from 5 bulk H3K27Ac melanoma profiles.
Description
Counts matrix from simulated single cell epigenomes from 5 bulk H3K27Ac melanoma profiles. Coverage of these cells ranges
from 26,940 to 59,580 reads per cell. Three of these cell lines are classified as melanocyte-like (MM001, MM011, MM034),
the other two are mesenchymal-like (MM029, MM047)
Usage
counts_mel
Format
A matrix with 100 cells and 112,701 regions.
Source
Verfaille, Imrichová & Kalender-Atak et al. (2015, GSE60666)
aertslab/cisTopic documentation built on April 6, 2024, 9:31 p.m.
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| counts_mel | R Documentation |
Cell data from simulated single cell epigenomes from 5 bulk H3K27Ac melanoma profiles.
Description
Counts matrix from simulated single cell epigenomes from 5 bulk H3K27Ac melanoma profiles. Coverage of these cells ranges from 26,940 to 59,580 reads per cell. Three of these cell lines are classified as melanocyte-like (MM001, MM011, MM034), the other two are mesenchymal-like (MM029, MM047)
Usage
counts_mel
Format
A matrix with 100 cells and 112,701 regions.
Source
Verfaille, Imrichová & Kalender-Atak et al. (2015, GSE60666)
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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