Look at consensus cell types in a subset of ScPCA samples

[allyhawkins]

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#853

Describe the goals of the changes to the analysis module.

Once we have created the reference for labeling cell types in #951, we will want to evaluate the consensus labels in a subset of ScPCA samples. We want to look at 2-3 samples across different projects and different tissue types and look at the consensus cell type calls. We have two projects (SCPCP000005 and SCPCP000008) that have submitter assigned cell types so we may want to use samples from those projects so that we can compare the consensus label to the submitter cell types, but this shouldn't be our only comparison.

What will your pull request contain?

A notebook that looks at consensus labels in ~3 samples. I will choose 3 samples from different projects and different tissue types and first assign the consensus label for each cell using the reference TSV file added in #951. Then we will look at the percentage of cells that are labeled with a consensus label vs. unknown and compare to submitter cell types and the original assigned cell types by SingleR and CellAssign.

Will you require additional software beyond what is already in the analysis module?

I don't believe so.

Will you require different computational resources beyond what the analysis module already uses?

No

If known, when do you expect to file the pull request?

No response

[allyhawkins]

Closing this since we have decided to look at assignments across all samples. See #969