SpaHDmap


NameSpaHDmap JSON
Version 0.0.3 PyPI version JSON
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home_pageNone
SummaryInterpretable high-definition dimension reduction of spatial transcriptomics data by SpaHDmap
upload_time2024-11-23 13:19:56
maintainerNone
docs_urlNone
authorNone
requires_python>=3.7
licenseMIT License
keywords spatial transcriptomics bioinformatics dimension reduction deep learning
VCS
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requirements No requirements were recorded.
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            # SpaHDmap: deep fusion of spatial transcriptomics and histology images for interpretable high-definition embedding mapping

## Overview

![alt](docs/_static/Overview.png)

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](https://www.biorxiv.org/content/10.1101/2024.09.12.612666).

## Installation
Please install `SpaHDmap` from pypi with:

```bash
pip install SpaHDmap
```

Or clone this repository and use

```bash
pip install -e .
```

in the root of this repository.

## Documentation

Please refer to the [documentation](https://spahdmap.readthedocs.io/en/latest/) for more details.

            

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    "author_email": "Kun Qian <kunqian@stu.pku.edu.cn>, Junjie Tang <junjie.tang@pku.edu.cn>",
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