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LeonSong1995 authored Mar 11, 2024
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Expand Up @@ -14,12 +14,13 @@ MeDuSA is a cellular deconvolution method that utilizes scRNA-seq data as a refe
### Installations
* [here](https://leonsong1995.github.io/MeDuSA/documentation/02_installation.html)

### Example analysis
* [hPSCs](https://leonsong1995.github.io/MeDuSA/documentation/05_hPSC_Example.html)
* [monocytes](https://leonsong1995.github.io/MeDuSA/documentation/04_Mon_Example.html)

### Extension
MeDuSA now also supports cell-state deconvolution for annotated cell states (cell types). Please check the link below:
MeDuSA now also supports cell-state deconvolution for annotated `cell states (cell types)`. Please check the link below:
https://github.com/LeonSong1995/MeDuSAJ.
Tutorial on how to use MeDuSAJ will be available later.
MeDuSAJ is more robust for estimating cell state (cell type) abundance for rare cell types, albeit with a slightly increased computational burden. Tutorials can be found in the [README](https://github.com/LeonSong1995/MeDuSAJ) of MeDuSAJ.

### Example analysis
* [hPSCs](https://leonsong1995.github.io/MeDuSA/documentation/05_hPSC_Example.html)
* [monocytes](https://leonsong1995.github.io/MeDuSA/documentation/04_Mon_Example.html)

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