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nealpsmith authored Dec 16, 2022
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# airway_allergic_asthma
Welcome! Here, we present our study of allergic asthma in the human airway.

## Read the paper :mortar_board:

Please read and cite our original research article:

- CITATION


## Explore the data :microscope:
<table>
<tr>
<td width="33%">
<a href="https://villani.mgh.harvard.edu/allergy-asthma/app/?ds=AEC_data&gene=MAL&groupby=none">
<img src="https://user-images.githubusercontent.com/209714/208189301-54950cab-9d7e-46e4-ba95-6f18e0bae550.png"></img>
</a>
</td>
<td>
<b>Cell Clusters</b>

Metadata variables and gene expression in two-dimensional embeddings.

3 cell lineages:

- Epithelial cells, Mononuclear phagocytes, T cellslls

:point_right: <a href="https://villani.mgh.harvard.edu/allergy-asthma/app/?ds=AEC_data&gene=MAL&groupby=none">View Cell Clusters</a>
</td>
</tr>
<tr>
<td>
<a href="https://villani.mgh.harvard.edu/allergy-asthma/gene-contrasts/">
<img src="https://user-images.githubusercontent.com/209714/208189495-d2c43409-d81e-4e06-86b8-5567ac79dc36.png"></img>
</a>
</td>
<td>
<b>Gene Contrasts</b>

Differential expression statistics for all genes across:

- 2 contrasts (condition Ag vs Bln, group AA vs AC)

:point_right: <a href="https://villani.mgh.harvard.edu/allergy-asthma/gene-contrasts/">View Gene Contrasts</a>
</td>
</tr>
</table>


## Read the source code &#x1F4BB;

This repository includes two folders:

[deg_table/][deg_table]
- The differentially expressed gene tables.

[figure_scripts/][figure_scripts]
- The source code for creating the figures that appear in the manuscript.

[deg_table]: https://github.com/villani-lab/airway_allergic_asthma/tree/main/deg_table
[figure_scripts]: https://github.com/villani-lab/airway_allergic_asthma/tree/main/figure_scripts


## Download the data &#x1F4BE;

The raw and processed scRNA-seq gene expression files are available at NCBI GEO
[GSE193816].

[GSE193816]: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193816

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