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11 | 11 | # Scanpy – Single-Cell Analysis in Python
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12 | 12 |
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13 | 13 | Scanpy is a scalable toolkit for analyzing single-cell gene expression data
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14 |
| -built jointly with [anndata](https://anndata.readthedocs.io). It includes |
| 14 | +built jointly with [anndata][]. It includes |
15 | 15 | preprocessing, visualization, clustering, trajectory inference and differential
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16 | 16 | expression testing. The Python-based implementation efficiently deals with
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17 | 17 | datasets of more than one million cells.
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18 | 18 |
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19 |
| -Discuss usage on the scverse [Discourse]. Read the [documentation]. |
20 |
| -If you'd like to contribute by opening an issue or creating a pull request, please take a look at our [contributing guide]. |
| 19 | +Discuss usage on the scverse [Discourse][]. Read the [documentation][]. |
| 20 | +If you'd like to contribute by opening an issue or creating a pull request, please take a look at our [contribution guide][]. |
| 21 | + |
| 22 | +[anndata]: https://anndata.readthedocs.io |
| 23 | +[discourse]: https://discourse.scverse.org/ |
| 24 | +[documentation]: https://scanpy.readthedocs.io |
21 | 25 |
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22 | 26 | [//]: # (numfocus-fiscal-sponsor-attribution)
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23 | 27 |
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@@ -52,6 +56,5 @@ You can cite the scverse publication as follows:
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52 | 56 | >
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53 | 57 | > _Nat Biotechnol._ 2023 Apr 10. doi: [10.1038/s41587-023-01733-8](https://doi.org/10.1038/s41587-023-01733-8).
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54 | 58 |
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55 |
| -[contributing guide]: CONTRIBUTING.md |
56 |
| -[discourse]: https://discourse.scverse.org/ |
57 |
| -[documentation]: https://scanpy.readthedocs.io |
| 59 | + |
| 60 | +[contribution guide]: CONTRIBUTING.md |
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