You can find the following files in the repository:
- R Notebook with examples: thymus_NPM-ALK_notebook.Rmd
- Html with examples: thymus_NPM-ALK_notebook.html
- Additional R functions: generic_functions.R
- R file with the Bulk data object: eset.thymus.bulk.sparse.RData.zip
In order to execute the complete pipeline, at the beginning of the R Notebook the following modified libraries must be installed:
-
SCDC:
- Repository: https://github.com/crhisto/SCDC
- Modifications:
- Compatibility with sparse matrices using:
dgCMatrix
objects in R. - Routines with parallelization
- Dynamic threshold for markers selection
- Improvements in logs and so on.
- Compatibility with sparse matrices using:
- Original repository: https://github.com/meichendong/SCDC
-
Biobase:
- Repository: https://github.com/crhisto/Biobase.
- Modifications: Compatibility with sparse matrices using:
dgCMatrix
objects in R. - Original repository: https://github.com/Bioconductor/Biobase
-
Xbioc:
- Repository: https://github.com/crhisto/xbioc. Original repository:
- Modifications: Compatibility with sparse matrices using:
dgCMatrix
objects in R. - Original repository: https://github.com/renozao/xbioc
Publication: Requirement of DNMT1 to orchestrate epigenomic reprogramming for NPM-ALK–driven lymphomagenesis