ScLive
ScLive provides interactive and highly customizable plots commonly used in single cell analysis. It also has live_dash module to create single cell analysis dashboards from anndata objects. The resulting dashboard allows to customize various aspects of the plot using an user interface.
ScLive can be installed using pip:
pip install sclive
Once installed and annotated data is loaded, the following code is enough to create a single cell analysis dashboard:
from sclive.live_dash import create_dash_app, ScLiveDash
app = create_dash_app(ScLiveDash(adata))
This code will create a Shiny app which can be deployed on a server supporting Shiny apps or using Shiny server. It can also be run locally using VS Code Shiny extension.
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Release files for sclive 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sclive-0.3.0.tar.gz | 34.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sclive-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.5 kB
Release files / sclive-0.3.0.tar.gz
| Download URL | sclive-0.3.0.tar.gz |
|---|---|
| Size | 34.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Download URL | sclive-0.3.0-py3-none-any.whl |
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| Size | 49.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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