Package: DeconRNASeq 1.47.0

Ting Gong

DeconRNASeq: Deconvolution of Heterogeneous Tissue Samples for mRNA-Seq data

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.

Authors:Ting Gong <[email protected]> Joseph D. Szustakowski <[email protected]>

DeconRNASeq_1.47.0.tar.gz
DeconRNASeq_1.47.0.zip(r-4.5)DeconRNASeq_1.47.0.zip(r-4.4)DeconRNASeq_1.47.0.zip(r-4.3)
DeconRNASeq_1.47.0.tgz(r-4.4-any)DeconRNASeq_1.47.0.tgz(r-4.3-any)
DeconRNASeq_1.47.0.tar.gz(r-4.5-noble)DeconRNASeq_1.47.0.tar.gz(r-4.4-noble)
DeconRNASeq_1.47.0.tgz(r-4.4-emscripten)DeconRNASeq_1.47.0.tgz(r-4.3-emscripten)
DeconRNASeq.pdf |DeconRNASeq.html✨
DeconRNASeq/json (API)

# Install 'DeconRNASeq' in R:
install.packages('DeconRNASeq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • datasets - Data objects for liver and kidney mixing samples
  • datasets - Data objects for liver and kidney mixing samples
  • fraction - Mixing fractions for multi-tissues mixing samples
  • proportions - Proportions for liver and kidney mixing samples
  • proportions - Proportions for liver and kidney mixing samples
  • signatures - Data objects for liver and kidney pure samples
  • 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

On BioConductor:DeconRNASeq-1.47.0(bioc 3.20)DeconRNASeq-1.46.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

5 exports 0.91 score 35 dependencies 23 mentions

Last updated 2 months agofrom:eaa29a7a13

Exports:condplotdecon.bootstrapDeconRNASeqmultiplotrmse

Dependencies:BiobaseBiocGenericsclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclelimSolvelpSolvemagrittrMASSMatrixmgcvmunsellnlmepcaMethodspillarpkgconfigquadprogR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr

DeconRNASeq Demo

Rendered fromDeconRNASeq.Rnwusingutils::Sweaveon Jun 14 2024.

Last update: 2013-11-01
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
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 DeconRNASeq_package
data objects for rat liver_brain samplesall.datasets
proportions for rat liver and brain mixing samplesarray.proportions
data objects for rat liver and brain pure samplesarray.signatures
Draw the plot of the condition numbers vs. the number of genes in the signature matrixcondplot
data objects for liver and kidney mixing samplesdatasets
Estimate the confidence interval for the proportions predicted by deconvolutiondecon.bootstrap
Function for Deconvolution of Complex Samples from RNA-Seq.DeconRNASeq
mixing fractions for multi-tissues mixing samplesfraction
data objects for liver and kidney mixing samplesliver_kidney
data objects for multi-tissues mixing samplesmulti_tissue
Draw the plots of proportions of cells determined from deconvolution vs. proportions of the cells actually mixed (when available) with RMSE.multiplot
proportions for liver and kidney mixing samplesproportions
Calculate the differences between proportions predicted by deconvolution and the values actually measuredrmse
data objects for liver and kidney pure samplessignatures
data objects for multi-tissues mixing samplesx.data
data objects for multi-tissues pure samplesx.signature
filtered signatures for multi-tissues pure samplesx.signature.filtered
selected signatures from multi-tissues pure samplesx.signature.filtered.optimal