Jamboree dimensionality reduction datasets

[lazappi]

Submission type

• This submission adds a new dataset
• This submission adds a new method
• This submission adds a new metric
• This submission adds a new task
• This submission adds a new Docker image
• This submission fixes a bug (link to related issue: )
• This submission adds a new feature not listed above

Testing

• This submission was written on a forked copy of SingleCellOpenProblems
• GitHub Actions "Run Benchmark" tests are passing on this base branch of this pull request (include link to passed test: )
• If this pull request is not ready for review (including passing the "Run Benchmark" tests), I will open this PR as a draft (click on the down arrow next to the "Create Pull Request" button)

Submission guidelines

• This submission follows the guidelines in our Contributing document
• I have checked to ensure there aren't other open Pull Requests for the same update/change

PR review checklist

This PR will be evaluated on the basis of the following checks:

• The task addresses a valid open problem in single-cell analysis
• The latest version of master is merged and tested
• The methods/metrics are imported to __init__.py and were tested in the pipeline
• Method and metric decorators are annotated with paper title, year, author, code version, and date
• The README gives an outline of the methods, metrics and datasets in the folder
• The README provides a satisfactory task explanation (for new tasks)
• The sample test data is appropriate to test implementation of all methods and metrics (for new tasks)

Description

This PR contains the following new dimensionality reduction datasets from the jamboree:

Dataset	Author	Issue	Original PR
Olsson mouse blood	@mvinyard	#252	lazappi/pull/2

[codecov-commenter]

Codecov Report

Merging #316 (d64ce94) into main (4394dbb) will decrease coverage by 1.48%.
The diff coverage is 0.00%.

@@            Coverage Diff             @@
##             main     #316      +/-   ##
==========================================
- Coverage   89.30%   87.81%   -1.49%     
==========================================
  Files          73       75       +2     
  Lines        1533     1559      +26     
  Branches       90       91       +1     
==========================================
  Hits         1369     1369              
- Misses        135      161      +26     
  Partials       29       29              

Flag	Coverage Δ
unittests	87.81% <0.00%> (-1.49%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
openproblems/data/mouse_blood_olssen_labelled.py	0.00% <0.00%> (ø)
..._reduction/datasets/mouse_blood_olssen_labelled.py	0.00% <0.00%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 4394dbb...d64ce94. Read the comment docs.

[mvinyard]

Thanks for all of your help with this @lazappi ! Approving merger

[scottgigante-immunai]

@lazappi any idea why this dataset was included but not used? https://app.codecov.io/gh/openproblems-bio/openproblems/blob/main/openproblems/data/mouse_blood_olssen_labelled.py

[lazappi]

No, I probably just missed something when approving the initial PR. If you remind what needs to be added for it to be used I can do that.

[scottgigante-immunai]

Actually it looks like the task dataset function just needs to be added to __init__.py. Easy peasy.