Releases: scverse/muon
Releases · scverse/muon
muon v0.1.6
muon v0.1.5
Fixes
muon v0.1.4
Improvements and fixes
mu.pp.intersect_obs
now works for modalities that have no.X
(#93)mu.pl.embedding
now saves the colour palette in.uns
ac.pl.fragment_histogram
andmu.pl.histogram
now have save/show arguments (#101)ac.tl.count_fragments_features
now has astranded
argumentac.tl.nucleosome_signal
now works on morepysam
setups (#105)- support for numpy 1.24 and newer scanpy versions
muon v0.1.3
Tools
- MOFA can be now run in the stochastic mode (SVI) using the new arguments for
muon.tl.mofa
(#47) - Model weights can be visualised with
mu.pl.mofa_loadings
Plotting
- Plotting module has gained new plots such as
mu.pl.scatter
(#48) - It is now possible to define layers as
{modality: layer}
inmu.pl.scatter
ATAC module
pysam
not being installed is now handled more gracefully (#46)- Improvements to the TF-IDF normalisation interface including view handling (#88)
General
sklearn
vsscikit-learn
dependency issue is fixed (#91)
muon v0.1.2
This is a point release with fixes. Consecutive in-place filtering now works as expected (#43).
muon v0.1.1
An update to muon with fixes and improvements. MuData
has found a new home in a standalone package.
muon v0.1.0
Initial muon release with MuData
, atac
and prot
modules, and multi-omics integration with MOFA and WNN.