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Interpretable high-definition dimension reduction of spatial transcriptomics data by SpaHDmap

Project description

SpaHDmap: deep fusion of spatial transcriptomics and histology images for interpretable high-definition embedding mapping

Overview

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SpaHDmap is based on a multi-modal neural network that takes advantage of the high-dimensionality of transcriptomics data and the high-definition of image data to achieve interpretable high-definition dimension reduction. The high-dimensional expression data enable refined functional annotations and the high-definition image data help to enhance the spatial resolution.

Based on the high-definition embedding and the reconstruction of gene expressions, SpaHDmap can then perform high-definition downstream analyses, such as spatial domain detection, gene expression recovery, and identification of embedding-associated genes as well as high-definition cluster-associated genes.

For more details, please refer to our manuscript.

Installation

Please install SpaHDmap from pypi with:

pip install SpaHDmap

Or clone this repository and use

pip install -e .

in the root of this repository.

Documentation

Please refer to the documentation for more details.

Project details


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SpaHDmap-0.0.1.tar.gz (29.8 kB view details)

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