Releases
[latest]
added
added documentation on ingesting custom h5ad/h5mu objects
fixed
dependencies
v0.5.0
added
added Tangram to
deconvolution_spatialadded scib metrics calculation to
integration, using the scib-metrics package
fixed
fixed error in
viserror occurred when only wanting to plot continuous or categorical variables (or neither), not both
fixed error in
refmaphigh threads was not recognised, now fixed.
dependencies
All the dependencies have been updated.
Python>=3.10 required
added seeds to all scvi tasks for reproducibility
v0.4.1
added
added example multiome submission file 10X_h5
added example multiome submission file cellranger
workflows & tutorials for
qc_spatial,preprocess_spatial, anddeconvolution_spatialto readthedocstutorial for
visadded PCA parameters in pipeline_preprocess.py for PROT modality to fix issue #120
added full control of dimred params for all modalities in pipeline_preprocess.py
more info on custom genes format files added to documentation
parsing summary files for cellranger multi version < 7
added checks for n_pcs in run_neighbors_method_choice
added filtering by HVF for atac
fixed
changed typo in tutorial paths for clustering and deconvolution
fix io to read cellranger outs folder for atac.
fixes to refmap workflow
typos & capitalization in the pipeline.yml files of
qc_spatial,preprocess_spatial, anddeconvolution_spatial,visremove
assay,sample_prefix, andmodalitiesparameters from theqc_spatialpipeline.ymlremove
sample_prefixandmodalitiesparameters from thepreprocess_spatialpipeline.ymlfixed error in
preprocess_spatialwhenfiltering: run: False-> now able to run no filtering without needing to save the MuData infiltered.databefore running the pipelinefixed error in
vischange PARAMS[‘custom_markers_minimal’] -> PARAMS[‘custom_markers’][‘files’][‘minimal’]
fix to avoid rerunning HVF and explicitly check X layer before normalization in pipeline_preprocess.py
fix plotting of umaps after batch correction
fix fetching string scvi if present in mudata for wnn
fixed lsi requirement for atac
fixed top features for atac
fixed filtering HVG for rna
moved pynndescent to PyPi dependencies
dependencies
v0.4.0
Big Change! the submission files for the ingest workflow have now changed! we require the paths to the Gene expression (RNA/GEX) and Protein (ADT) to have the following headers.
sample_id |
rna_path |
rna_filetype |
prot_path |
prot_filetype |
|---|---|---|---|---|
sampleX |
path/to/rna |
10X_h5 |
path/to/prot |
10x_h5 |
See tutorials for examples of submission files.
added
merged PR #111:
LSI in panpipes_preprocess is run on the highly variable features
n_comp for LSI
fixed
changed all instances of ADT into PROT
changed all instances of GEX to RNA
changed the params to fix plotting as mentioned in issue #41
typo in readme
set default seaborn <=0.12.2 to avoid issue #104, #126
v0.3.1
set default matplotlib<=3.7.3 to avoid issue #104.
v0.3.0
added
Spatial data analysis is now included in panpipes
panpipes qc_spatial
panpipes preprocess_spatial
panpipes_deconvolution_spatial
fixed
make sure columns from individual modalities that are not in the multimodal outer obs can be used to
dependencies
additional dependencies: squidpy, cell2location, openpyxl
v0.2.0
First public version of panpipes
contains qc_mm, preprocess, intergration, clustering