scEGOT
single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport
Installation
$ pip install scegot
Requirements
-
Python3
-
GraphViz
Click here to learn how to install GraphViz (official documentation).
Documentation
The tutorial is available here.
Paper
Please see the following paper: Yachimura, T. et al. scEGOT: single-cell trajectory inference framework based on entropic Gaussian mixture optimal transport. BMC Bioinformatics 25, 388 (2024).
Metadata
Release files for scegot 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| scegot-0.3.0.tar.gz | 34.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scegot-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 69.3 kB
Release files / scegot-0.3.0.tar.gz
| Download URL | scegot-0.3.0.tar.gz |
|---|---|
| Size | 34.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.2 CPython/3.12.7 Linux/6.14.0-37-generic
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Release files / scegot-0.3.0-py3-none-any.whl
| Download URL | scegot-0.3.0-py3-none-any.whl |
|---|---|
| Size | 34.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.2 CPython/3.12.7 Linux/6.14.0-37-generic
|
Security for scegot 0.3.0
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