Quantiseq: Deconvolution Methods QuanTIseq QuanTIseq helps users to...
In libcell/deconvBench: A tool for approaches evaluation of cell fraction estimation
Quantiseq R Documentation
Deconvolution Methods QuanTIseq
QuanTIseq helps users to Estimate of cellular fractions.
Description
Deconvolution Methods QuanTIseq
QuanTIseq helps users to Estimate of cellular fractions.
Usage
Quantiseq(bulkdata, tumor = TRUE)
Arguments
bulkdata
A matrix with genes in rows and samples in columns.
tumor
Default is TURE
signature
A data-frame containing signatures of different cell types,
Default is NULL.
Value
data frame of Mixed cellular fractions.
Examples
Bulk <- Bulk_GSE60424
res <- Quantiseq(bulkdata = Bulk )
libcell/deconvBench documentation built on Sept. 24, 2022, 12:36 p.m.
R Package Documentation
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| Quantiseq | R Documentation |
Deconvolution Methods QuanTIseq QuanTIseq helps users to Estimate of cellular fractions.
Description
Deconvolution Methods QuanTIseq QuanTIseq helps users to Estimate of cellular fractions.
Usage
Quantiseq(bulkdata, tumor = TRUE)
Arguments
bulkdata |
A matrix with genes in rows and samples in columns. |
tumor |
Default is TURE |
signature |
A data-frame containing signatures of different cell types, Default is NULL. |
Value
data frame of Mixed cellular fractions.
Examples
Bulk <- Bulk_GSE60424 res <- Quantiseq(bulkdata = Bulk )
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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