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  ## Description
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- Full [`novae`](https://github.com/MICS-Lab/novae) dataset, including:
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  1. All the spatial transcriptomics samples used to train Novae
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  2. Protein samples used in the article
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  3. Some Visium and Visium HD samples
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  4. Synthetic data samples
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- You can download this dataset from the API, see [`novae.load_dataset`](https://mics-lab.github.io/novae/api/data/#novae.load_dataset)
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- See [here](https://huggingface.co/collections/MICS-Lab/novae-669cdf1754729d168a69f6bd) the list of available models trained on this dataset.
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  > [!NOTE]
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  > Note that Novae was trained on the **image-based** spatial transcriptomics samples. This means that it was **not** trained on the Visium/VisiumHD samples and the spatial proteomics samples.
 
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  ## Description
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+ Full [`novae`](https://github.com/prism-oncology/novae) dataset, including:
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  1. All the spatial transcriptomics samples used to train Novae
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  2. Protein samples used in the article
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  3. Some Visium and Visium HD samples
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  4. Synthetic data samples
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+ You can download this dataset from the API, see [`novae.load_dataset`](https://prism-oncology.github.io/novae/api/data/#novae.load_dataset)
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+ See [here](https://huggingface.co/collections/prism-oncology/novae) the list of available models trained on this dataset.
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  > [!NOTE]
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  > Note that Novae was trained on the **image-based** spatial transcriptomics samples. This means that it was **not** trained on the Visium/VisiumHD samples and the spatial proteomics samples.