Current collected state Current
Observed since 20 Oct, 19:10 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
A python package to visualize adata
Functions and tools to visualize adata
pip install adataviz
#upgrade from older version
pip install --upgrade adataviz
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
# 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
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.5 | 11 Apr 2026 | 13 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 19:10 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:68fdd25b5bfa21f83b2d407b61aa8e01cb81b8015b5371445ce16ff86dc50f53