docs(tutorial): update hyperlink

docs/tutorials/scAR_tutorial_batch_denoising_scRNAseq.ipynb

@@ -9,7 +9,7 @@
     "\n",
     "In this tutorial, we will guide you through the process of batch denoising scRNAseq datasets, which originate from different batches and laboratories.\n",
     "\n",
-    "To demonstrate the process, we will use the [human breast cell atals](10.1038/s41588-024-01688-9), comprising over 800,000 human cells collected from 55 donors and sequenced across 45 batches. This dataset serves as a practical example for removing ambient noise during data integration. The original dataset can be accessed via [cellxgene](https://cellxgene.cziscience.com/collections/48259aa8-f168-4bf5-b797-af8e88da6637).\n",
+    "To demonstrate the process, we will use the [human breast cell atals](https://www.nature.com/articles/s41588-024-01688-9), comprising over 800,000 human cells collected from 55 donors and sequenced across 45 batches. This dataset serves as a practical example for removing ambient noise during data integration. The original dataset can be accessed via [cellxgene](https://cellxgene.cziscience.com/collections/48259aa8-f168-4bf5-b797-af8e88da6637).\n",
     "\n",
     "<div class=\"alert alert-info\">\n",
     "\n",
@@ -64,7 +64,7 @@
     "The dataset can be downloaded from cellxgene by following command  \n",
     "`wget -O HBCA.h5ad https://datasets.cellxgene.cziscience.com/5a611776-aae0-41b9-9f2b-aaf5f83771a3.h5ad\n",
     "`  \n",
-    "The integrated dataset consists of 803,283 cells from 55 donors, sequenced across 45 batches. The batch information, labeled as 'processing_date' in Anndata.obs, is detailed in the Methods section of [Reed et al., Nature Genetics (2024)](10.1038/s41588-024-01688-9)"
+    "The integrated dataset consists of 803,283 cells from 55 donors, sequenced across 45 batches. The batch information, labeled as 'processing_date' in Anndata.obs, is detailed in the Methods section of [Reed et al., Nature Genetics (2024)](https://www.nature.com/articles/s41588-024-01688-9)"
    ]
   },
   {
@@ -120,7 +120,7 @@
    "id": "cbf4a8b1",
    "metadata": {},
    "source": [
-    "scAR allows for denoising a specific subset of genes and samples, making pre-filtering advisable to save computational time. In this case, we have subsetted the data to include only marker genes and highly variable genes, as provided in Figure 2 of [Reed et al., Nature Genetics (2024)](10.1038/s41588-024-01688-9) and Anndata.var, respectively."
+    "scAR allows for denoising a specific subset of genes and samples, making pre-filtering advisable to save computational time. In this case, we have subsetted the data to include only marker genes and highly variable genes, as provided in Figure 2 of [Reed et al., Nature Genetics (2024)](https://www.nature.com/articles/s41588-024-01688-9) and Anndata.var, respectively."
    ]
   },
   {