scLT-kit
Introduction
scLT-kit is a toolkit for analyzing single-cell lineage-tracing (LT-scSeq) data.
System Requirements
- Python version: >= 3.7
Dependencies
- numpy, pandas, sklearn, scipy, matplotlib, seaborn
Installation
The Release version of scLT-kit+ python package can be installed directly via pip:
pip install scLTkit
1 maintainer
Metadata
1 maintainer
Release files for scLTkit 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scltkit-0.0.2.tar.gz | 12.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scLTkit-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.8 kB
Release files / scltkit-0.0.2.tar.gz
| Download URL | scltkit-0.0.2.tar.gz |
|---|---|
| Size | 12.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.12.4
|
Release files / scLTkit-0.0.2-py3-none-any.whl
| Download URL | scLTkit-0.0.2-py3-none-any.whl |
|---|---|
| Size | 12.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.12.4
|
