Releases

[latest]

added

fixed

  • fixed calls to new imports matplotlib

  • fixed scanpy/muon latest

  • changed default adversarial_training = False to ensure multivi runs with scvi-tools 1.1.3 https://github.com/scverse/scvi-tools/issues/2581

  • updated integration01 action to use updated scvi-tools version

dependencies

  • matplotlib 3.9.0

v1.0.0

added

  • added documentation on ingesting custom h5ad/h5mu objects

fixed

dependencies

  • pinned matplotlib 3.8 as temporary fix next release will unpin and fix get_cmap (API) and legendHandles (API)

v0.5.0

added

fixed

  • fixed error in vis

    • error occurred when only wanting to plot continuous or categorical variables (or neither), not both

  • fixed error in refmap

    • high 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, and deconvolution_spatial to readthedocs

  • tutorial for vis

  • added 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, and deconvolution_spatial, vis

  • remove assay, sample_prefix, and modalities parameters from the qc_spatial pipeline.yml

  • remove sample_prefix and modalities parameters from the preprocess_spatial pipeline.yml

  • fixed error in preprocess_spatial when filtering: run: False -> now able to run no filtering without needing to save the MuData in filtered.data before running the pipeline

  • fixed error in vis

    • change 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