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adataviz

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A python package to visualize adata

adatavisualization
Versions collected1
Direct dependencies13From release 0.5
Last observed20 Oct, 19:10 UTC

README

Version 0.5 documentation

adataviz

Functions and tools to visualize adata

Installation


  1. Install using pip:
pip install adataviz

#upgrade from older version
pip install --upgrade adataviz
  1. Install the developmental version directly from github:
pip install git+https://github.com/DingWB/adataviz
# reinstall
pip uninstall -y adataviz && pip install git+https://github.com/DingWB/adataviz

OR

git clone https://github.com/DingWB/adataviz
cd adataviz
python setup.py install

Command Line Tools

Aggregrate single-cell RNA data to pseudobulk adata

# merge single cells raw counts to psuedobulk (sum up raw counts) and run normalization (logCPM or logTPM)
adataviz tool scrna2pseudobulk  HMBA.Group.downsample_1500.h5ad --groupby="Subclass" --downsample=2000 --use_raw=True --n_jobs 16 --normalization CPM -s ~/Projects/BICAN/adata/HMBA_v2/Pseudobulk.Subclass.h5ad

# stat pseudobulk: calculate min,q25, q50, q75, max, mean and std
adataviz tool stat_pseudobulk  HMBA.Group.downsample_1500.h5ad --groupby="Subclass" --downsample=2000 --use_raw=False -m RNA --n_jobs 16 -s ~/Projects/BICAN/adata/HMBA_v2/Pseudobulk.Subclass.stats.h5ad

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Versions 1

Collected releases
VersionPublishedDirect dependenciesOpen version
0.511 Apr 202613

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Repository

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dingwb/adataviz

Shared repository data · GitHub

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Metadata history

Meaningful changes
Current collected state Current

Observed since 20 Oct, 19:10 UTC

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Record identity

package:68fdd25b5bfa21f83b2d407b61aa8e01cb81b8015b5371445ce16ff86dc50f53