Dcq: DCQ
In libcell/deconvBench: A tool for approaches evaluation of cell fraction estimation
Dcq R Documentation
DCQ
Description
DCQ
Usage
Dcq(scdata, bulkdata, label)
Arguments
scdata
single data with genes in rows and cells in columns.
bulkdata
A matrix with genes in rows and samples in columns.
label
The cell type label of single data.
Value
A data frame of Mixed cellular fractions.
Examples
Bulk <- Bulk_GSE60424
SC <- SC_GSE60424
Label <- Label_GSE60424$Label
res <- Dcq(bulkdata = Bulk,
scdata = SC,
label = Label)
libcell/deconvBench documentation built on Sept. 24, 2022, 12:36 p.m.
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| Dcq | R Documentation |
DCQ
Description
DCQ
Usage
Dcq(scdata, bulkdata, label)
Arguments
scdata |
single data with genes in rows and cells in columns. |
bulkdata |
A matrix with genes in rows and samples in columns. |
label |
The cell type label of single data. |
Value
A data frame of Mixed cellular fractions.
Examples
Bulk <- Bulk_GSE60424
SC <- SC_GSE60424
Label <- Label_GSE60424$Label
res <- Dcq(bulkdata = Bulk,
scdata = SC,
label = Label)
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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