Comments (8)
Hi @mdeea we have introduced an alternative to computing the nhood distance matrix, which has superior scaling performance. Could you re-run the makeNhoods
with refinement_scheme="graph"
- this dispenses with the need to run calcNhoodDistances
- you will also need to adjust testNhoods
with fdr.weighting="graph-overlap"
.
I'll flag this deprecated syntax in the next Bioc release (April).
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Hi @mihem - you can also access these updates by installing from the devel branch devtools::github_install("MarioniLab/miloR", ref="devel")
.
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Thanks, I did manage to get the tute running using a singularity instance of R built on Bioconductor 3.16, R 4.2 prior to the Matrix package update to 1.5.
However your workaround worked also and was much easier to use. Thanks!
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This is very helpful, but should be mentioned in the vignette IMO, because right now the vignette leads to an error because of this Matrix issue.
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Hi @mihem This seems to be heavily dependent on the R version - updating to R4.3 indicates this is not an issue - can you confirm which R and package versions you are using?
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Thanks for the swift reponse. I work on Ubuntu LTS and still work with R 4.2.1, and use miloR 1.7.1 (master branch from github).
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Hi @mihem the recommended installation pathway is through Bioconductor. I'd recommend to upgrade to R4.3 and Bioc 3.17 to get the updates.
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Hi Mike, well Bioconductor R 4.3 and Bioc 3.17 are pretty new (End of April), so for projects that have been started a few weeks or months ago and are under renv control, I would prefer to keep these older version.
But thanks for fixing, I will update soon for future projects and report if I still experience this issue.
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Related Issues (20)
- Results Changed HOT 2
- Error: (converted from warning) 'as(<dgTMatrix>, "dgCMatrix")' is deprecated. HOT 4
- Seeking Guidance on Input Data for PCA Reduction and Gene Expression in Milo HOT 2
- da_results error HOT 6
- Design matrix and nhood counts are not the same dimension HOT 1
- Predefined Graph Import Still Not Available to Use HOT 4
- Inconsistent Default Values Between Functions HOT 2
- Can't interpret plotNhoodGraphDA and plotUMAP HOT 2
- Error in `scale_color_gradient2()` HOT 10
- Applicability to Cancer Samples HOT 1
- GLMM vignette HOT 3
- Lack of Robustness to Missing Values in Dependent Variable HOT 3
- Cell Condition Relabelling Functionality HOT 3
- Prevention of Neighbourhood Merging of Similar Cell Types into Neighbourhood Groups HOT 1
- Cell type is lost during annotateNhoods HOT 5
- Function Not Found Error HOT 3
- nhood size distribution: some neighbourhoods have over 2000 cells HOT 4
- Progress Bar for GLMM HOT 6
- object 'as.SimpleList' of mode 'function' was not found when running calcNhoodDistance HOT 2
- Multiple comparisons gives identical results by using model.contrasts HOT 12
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