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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 of infercnvpy can be used.
The text was updated successfully, but these errors were encountered:
Eventually yes, but it's likely not going to happen soon (i.e. within the
next few months). This is more of a side-project and I can't currently
justify to spend more time on it.
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 theinfercnv
algorithm in Python and it makes sense to run them in parallel on individual patients, potentially on HPC.I would suggest to
obs
)the visualizations functions of
infercnvpy
can be used.The text was updated successfully, but these errors were encountered: