Comments (4)
The example workflow could also contain
- How to filter rows and cols with very low correlations
- examples on how to visualize some of the most strongly correlated pairs; for checking purposes
from miaviz.
This proposal seams to be heavily method driven and therefore should be split between mia and miaViz, if the method makes sense by itself.
To me it seams to be the same case as for #40
from miaviz.
Support for SE
/MAE
objects could be provided here for cobiclust package for count assays; and for biclust package for the outputs of getCrossExperimentAssociation
i.e. dis/similarity matrices between two distinct assays.
Also possible to start with the examples in OMA, and implement the wrapper later. We can discuss how to prioritize issues.
from miaviz.
biclustering has relatively little general use; closing this for now.
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Related Issues (20)
- Boxplots significance HOT 3
- plotAbundanceDensity colors
- plotRDA ellipse's confidence level
- plotAssay HOT 5
- More options from ggplot for plotAbundanceDensity HOT 7
- Error in .merge_tree_vis_data(tree_data, feature_info) : . HOT 3
- print x-axis label in plotAbundance HOT 2
- Update the pkg in Bioc devel HOT 1
- Check fails HOT 2
- Ordination plots with trajectories: add examples HOT 3
- Enable examples and tests
- Update Bioc devel HOT 1
- argument names
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- RDA influences from microViz
- plotAbundanceDensity options
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