DeconRNASeq_package

DeconRNASeq.package


Main function "DeconRNASeq" implements an nonnegative decomposition by quadratic programming as datasets = signature*A,
where "datasets"  are the originally measured data matrix (e.g. genes by samples),
"signature" is the signature matrix (genes by cell types) and "A" the cell type concentration matrix (cell types by samples) 


methods

DeconRNASeq

DeconRNASeq-package

DeconSeq is an R package for deconvolution of
heterogeneous tissues based on mRNA-Seq data. It modeled
expression levels from heterogeneous cell populations in
mRNA-Seq as the weighted average of expression from different
constituting cell types and predicted cell type proportions of
single expression profiles.

Ting Gong

Deconvolution of Heterogeneous Tissue Samples for mRNA-Seq data

DeconRNASeq-package function

Main function "DeconRNASeq" implements an nonnegative decomposition by quadratic programming as datasets = signature*A,
where "datasets"  are the originally measured data matrix (e.g. genes by samples),
"signature" is the signature matrix (genes by cell types) and "A" the cell type concentration matrix (cell types by samples)

package DeconRNASeq contains function "DeconRNASeq", implementing the decomposition
of RNA-Seq expression profilings of heterogeneous tissues into cell/tissue type specific expression and cell type concentration
based on cell-type-specific reference measurements.


package DeconRNASeq contains function "DeconRNASeq", implementing the decomposition
of RNA-Seq expression profilings of heterogeneous tissues into cell/tissue type specific expression and cell type concentration
based on cell-type-specific reference measurements.


DeconRNASeq-package: package DeconRNASeq contains function "DeconRNASeq", implementing the decomposition of RNA-Seq expression profilings of heterogeneous tissues into cell/tissue type specific expression and cell type concentration based on cell-type-specific reference measurements.

Description

Arguments

Details

References