mgp_sampleProfiles: Mock dataset for cell type profiles
In PavlidisLab/markerGeneProfile: Cell type marker gene profiles in whole tissue samples
Description
Usage
Format
See Also
Description
This is a simplified mock dataset that represents the minimal information
required for marker gene selection. Gene symbols or other form of gene
identifier to be outputted should be present in a column before the
expression data. If there are additional columns that are not the expression
data from samples they must not be of type double. In the Mancarci et al.
study, expression data from samples is microarray data from purified brain cell types.
Marker gene selection pipeline is designed to accomodate such microarray data that is on
log2 scale. To use any other form of data, it must be converted to log scale and parameters
for marker gene selection needs to be adjusted accordingly.
Usage
1
Format
An object of class data.frame with 6 rows and 19 columns.
See Also
mpg_sampleProfilesMeta, mpg_sampleRegionHiearchy, input of mpg_markerCandidates
PavlidisLab/markerGeneProfile documentation built on July 11, 2019, 11:42 p.m.
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Description Usage Format See Also
Description
This is a simplified mock dataset that represents the minimal information required for marker gene selection. Gene symbols or other form of gene identifier to be outputted should be present in a column before the expression data. If there are additional columns that are not the expression data from samples they must not be of type double. In the Mancarci et al. study, expression data from samples is microarray data from purified brain cell types. Marker gene selection pipeline is designed to accomodate such microarray data that is on log2 scale. To use any other form of data, it must be converted to log scale and parameters for marker gene selection needs to be adjusted accordingly.
Usage
1 |
Format
An object of class data.frame with 6 rows and 19 columns.
See Also
mpg_sampleProfilesMeta, mpg_sampleRegionHiearchy, input of mpg_markerCandidates
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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