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.
|Author||Ting Gong <email@example.com> Joseph D. Szustakowski <firstname.lastname@example.org>|
|Date of publication||None|
|Maintainer||Ting Gong <email@example.com>|
all.datasets: data objects for rat liver_brain samples
array.proportions: proportions for rat liver and brain mixing samples
array.signatures: data objects for rat liver and brain pure samples
condplot: Draw the plot of the condition numbers vs. the number of...
datasets: data objects for liver and kidney mixing samples
decon.bootstrap: Estimate the confidence interval for the proportions...
DeconRNASeq: Function for Deconvolution of Complex Samples from RNA-Seq.
DeconRNASeq-package: package DeconRNASeq contains function "DeconRNASeq",...
fraction: mixing fractions for multi-tissues mixing samples
liver_kidney: data objects for liver and kidney mixing samples
multiplot: Draw the plots of proportions of cells determined from...
multi_tissue: data objects for multi-tissues mixing samples
proportions: proportions for liver and kidney mixing samples
rmse: Calculate the differences between proportions predicted by...
signatures: data objects for liver and kidney pure samples
x.data: data objects for multi-tissues mixing samples
x.signature: data objects for multi-tissues pure samples
x.signature.filtered: filtered signatures for multi-tissues pure samples
x.signature.filtered.optimal: selected signatures from multi-tissues pure samples