Releases: scverse/muon
Releases · scverse/muon
muon v0.1.7
Fixes
Important
In this release, there are some functions where the bugfixes and improvements led to changes in their behavior. This is why in some instances, this version might produce different outputs when compared to the previous versions. See e.g. #147.
- Enable compatibility of in-place filtering with the latest anndata (#148)
- Fix
tfidf
when using data from a layer (#147) - Fix custom chromosome names in
count_fragments_features
(#140) - Prepare to count unique fragments in
count_fragments_features
from the next version (see #110) - Improve
mu.pl.scatter()
🐛 → 🦋
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.