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I feel rpy2 is unreliable, the R packages are cumbersome to install and a lot of additional dependencies. On top of that, the R methods are relatively slow compared to the infercnv algorithm in Python and it makes sense to run them in parallel on individual patients, potentially on HPC.
I would suggest to
- remove the copykat function as it is currently from the package
- build a small nextflow pipeline that
- takes an anndata object as input
- splits it up by patient (or whatever variable in
obs) - converts it to SingleCellExperiment
- runs copykat and or SCEVAN
- has the dependencies packaged as docker/singularity containers.
- provide loader functions for the results of copykat and SCEVAN such that
the visualizations functions ofinfercnvpycan be used.
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