Add Method SCOT to Multi-modal data Integration Task

[atong01]

This PR adds the Single-cell Optimal Transport method to the multimodal integration task.

Some potential questions:

• I have a long URL link that fails our flake8 test, this is useful for documenting where these parameters came from.
• There are a number of options on exactly what to compare existing methods use two normalization schemes, for SCOT I included both of these as well as the balanced option, which is quite important (as it represents separate but important variants of the Gromov-Wasserstein distance).
• SCOT is not well packaged, therefore I had to do my own packaging and so we currently install SCOT via my forked repository. I have submitted a PR on the SCOT GitHub, if this is merged up there it should be a quick fix. Not sure how we want to support these not quite fully packaged methods in the future.

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: Link to Passing 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

[LuckyMD]

Looks good to me. Matches the API and is fully metadata annotated.

[atong01]

I broke some strings into multiline strings and added a #noqa tag so flake will ignore this long url, so pre-commit should pass now.

[LuckyMD]

let's wait for tests and then merge.

[codecov-io]

Codecov Report

Merging #298 (fa51089) into master (e4c009f) will decrease coverage by 2.43%.
The diff coverage is 0.00%.

@@            Coverage Diff             @@
##           master     #298      +/-   ##
==========================================
- Coverage   91.67%   89.23%   -2.44%     
==========================================
  Files          70       71       +1     
  Lines        1465     1505      +40     
  Branches       89       89              
==========================================
  Hits         1343     1343              
- Misses         94      134      +40     
  Partials       28       28              

Flag	Coverage Δ
unittests	89.23% <0.00%> (-2.44%)	⬇️

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

Impacted Files	Coverage Δ
.../tasks/multimodal_data_integration/methods/scot.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 e4c009f...fa51089. Read the comment docs.