Hierarchical Manifold Approximation and Projection for Single Cell Data

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  • License: MIT License
  • Author: Feng Zeng
  • Requires: Python >=3.9
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HMAP: Hierarchical Manifold Approximation and Projection

HMAP develop a hierarchical deep generative topographic mapping algorithm to realize the recovery of both global and local manifolds underlying the given data.

Example

HERE

Installation

  1. Download HMAP and enter the directory
git clone https://github.com/ZengFLab/HMAP.git && cd HMAP
  1. Create a virtual environment and activate it
conda create -n HMAP python=3.10 && conda activate HMAP
  1. Install PyTorch following the official instruction.
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
  1. Install HMAP
pip install HMAP-tool

Project details

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Avatar for ZengFLab from gravatar.com ZengFLab

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Project links
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  • License: MIT License
  • Author: Feng Zeng
  • Requires: Python >=3.9
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1.0.1

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