codecov-commenter
commented
10 months ago Codecov Report
Merging #295 (47fb880) into master (3e4e264) will decrease coverage by
5.96%. The diff coverage is50.94%.:exclamation: Current head 47fb880 differs from pull request most recent head 1633c34. Consider uploading reports for the commit 1633c34 to get more accurate results
@@ Coverage Diff @@
## master #295 +/- ##
==========================================
- Coverage 61.65% 55.69% -5.96%
==========================================
Files 19 30 +11
Lines 1476 3065 +1589
==========================================
+ Hits 910 1707 +797
- Misses 566 1358 +792 | Files | Coverage Δ | |
|---|---|---|
| R/buildGraph.R | 61.81% <ø> (ø) |
|
| R/findNhoodGroupMarkers.R | 68.42% <ø> (ø) |
|
| R/graphSpatialFDR.R | 72.46% <ø> (+1.03%) |
:arrow_up: |
| R/makeNhoods.R | 94.49% <100.00%> (ø) |
|
| R/plotNhoods.R | 27.04% <ø> (ø) |
|
| R/milo.R | 66.66% <0.00%> (ø) |
|
| R/annotateNhoods.R | 91.30% <84.61%> (-3.70%) |
:arrow_down: |
| R/checkSeparation.R | 91.66% <91.66%> (ø) |
|
| R/utils.R | 87.27% <90.90%> (+2.42%) |
:arrow_up: |
| src/invertPseudoVar.cpp | 74.07% <74.07%> (ø) |
|
| ... and 10 more |
This major update to Milo (2.0) introduces a mixed effect model. This can be used to model dependence between observations, including genetic relationships. Therefore, Milo can now be used to identify cell state quantitative trait loci (csQTL). More details are included in https://github.com/MorganResearchLab/Milo2.0Analysis_2023