Shreshth Gandhi
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Update community tutorial links
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README.md
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@@ -105,7 +105,6 @@ Please see the [Data Loading Tutorial](tutorials/loading_data.ipynb) for a walkt
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Here are a links to few resources created by the community. We would love to feature additional tutorials from the community, if you have built something on top of
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Tahoe-100M, please let us know and we would love to feature your work.
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<td>Analysis guide for Tahoe-100M using rapids-single-cell, scanpy and dask</td>
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<td><a href="https://github.com/scverse" target="_blank">
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## Dataset Features
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We provide multiple tables with the dataset including the main data (raw counts) in the `expression_data` table as well as
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various metadata in the `gene_metadata`,`sample_metadata`,`drug_metadata`,`cell_line_metadata`,`obs_metadata` tables.
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Here are a links to few resources created by the community. We would love to feature additional tutorials from the community, if you have built something on top of
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Tahoe-100M, please let us know and we would love to feature your work.
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<table>
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<thead>
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<tr>
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<tbody>
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<tr>
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<td>Analysis guide for Tahoe-100M using rapids-single-cell, scanpy and dask</td>
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<td><a href="https://github.com/scverse" target="_blank">SCVERSE</a></td>
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<td><a href="https://github.com/theislab/vevo_Tahoe_100m_analysis/tree/tahoe-DGX-fix" target="_blank">Link</a></td>
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<td>Tutorial for accessing Tahoe-100M h5ad files hosted by the Arc Institute</td>
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<td><a href="https://github.com/ArcInstitute" target="_blank">Arc Institute</a></td>
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<td><a href="https://github.com/ArcInstitute/arc-virtual-cell-atlas/blob/main/tahoe-100M/tutorial-py.ipynb" target="_blank">Link</a></td>
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</tr>
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</tbody>
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</table>
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## Dataset Features
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We provide multiple tables with the dataset including the main data (raw counts) in the `expression_data` table as well as
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various metadata in the `gene_metadata`,`sample_metadata`,`drug_metadata`,`cell_line_metadata`,`obs_metadata` tables.
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