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1.2.0 (24.05.2024)
Added inbuilt orthology conversion functions to convert between species in the ligand-receptor resources (addressing The mouse resource are missing important interactions that should be possible to convert #76)
These include:
li.rs.get_hcop_orthology
to obtain a dataframe of orthologs from HCOP,li.rs.translate_column
to translate a single column in a dataframe, andli.rs.translate_resource
as a simple wrapper from the latter function to be applied on dataframes.Merged KeyError: None when using top_n parameter in li.pl.dotplot #109 to address a backward compatibility issue with plotnine's facets.
Updated MOFAcell & MOFAtalk tutorials, by making some parameters a bit more explicit (Clarify LIANA + MOFA vignette #102), and using decoupler's association plot to do ANOVA + plot metadata associations.
The mean rank returned by
rank_aggregate
whenaggregate_metod
= 'mean' is now normalized by the total number of interactions.Fixed a minor logic issue when calculating analytical p-values for Moran's R