single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport

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License: MIT License (MIT)

Author: Toshiaki Yachimura

Requires: Python >=3.9, <3.12

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Project description

scEGOT

single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport

Fig_scEGOT_abstract

Installation

$ pip install scegot

Requirements

  • Python3

  • pandas

  • anndata

  • GraphViz

    Click here to learn how to install GraphViz (official documentation).

Documentation

The tutorial is available here.

Preprint

Please see the following paper: T. Yachimura et al. scEGOT: Single-cell trajectory inference framework based on entropic Gaussian mixture optimal transport. bioRxiv

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Avatar for mokomoko-momo from gravatar.com mokomoko-momo Avatar for Yachimura from gravatar.com Yachimura

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These details have not been verified by PyPI
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GitHub Statistics

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Meta

License: MIT License (MIT)

Author: Toshiaki Yachimura

Requires: Python >=3.9, <3.12

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0.2.1

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0.1.7

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0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

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