Published May 20, 2018
| Version v0.1.0
Software
Open
UrszulaCzerwinska/DeconICA: DeconICA first release
Description
DeconICA
AN R PACKAGE FOR IDENTIFYING IMMUNE-RELATED SIGNALS IN TRANSCRIPTOME THROUGH DECONVOLUTION OR UNSUPERVISED SOURCE SEPARATION METHODS
You can install deconICA from GitHub with:
#install.packages("devtools")
devtools::install_github("UrszulaCzerwinska/DeconICA", build_vignettes = TRUE, dependencies = TRUE)
The aim of the project is to adapt blind source separation techniques to extract immune-related signals from mixed biological samples. A great example of mixed biological sample is transcriptome measured in heterogenous tissue such as blood or tumor biopsy.
Files
UrszulaCzerwinska/DeconICA-v0.1.0.zip
Files
(254.1 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/UrszulaCzerwinska/DeconICA/tree/v0.1.0 (URL)