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integrating-data-using-ingest.ipynb

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"cell_type": "markdown",
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"The following tutorial describes [BBKNN](https://github.com/Teichlab/bbknn) [[Polanski19]](https://10.1093/bioinformatics/btz625) and a simple PCA-based method for integrating data we call [ingest](https://scanpy.readthedocs.io/en/latest/api/scanpy.tl.ingest.html).\n",
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"The following tutorial describes a simple PCA-based method for integrating data we call [ingest](https://scanpy.readthedocs.io/en/latest/api/scanpy.tl.ingest.html) and compares it with [BBKNN](https://github.com/Teichlab/bbknn) [[Polanski19]](https://10.1093/bioinformatics/btz625). BBKNN integrates well with the Scanpy workflow and is accessible through the [bbknn](https://scanpy.readthedocs.io/en/stable/external/scanpy.external.pp.bbknn.html) function.\n",
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"BBKNN integrates well with the Scanpy workflow and is accessible through [bbknn](https://scanpy.readthedocs.io/en/stable/external/scanpy.external.pp.bbknn.html)\n",
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"The [ingest](https://scanpy.readthedocs.io/en/latest/api/scanpy.tl.ingest.html) function assumes an annotated reference dataset that essentially captures the relevant biological variability and is well-embedded already. The rational is to fit a model (for the time being, a PCA) on the reference data and use it to project new data. Similar PCA-based integrations have been used in many papers before, for instance, in [Weinreb18](https://doi.org/10.1101/467886).\n",
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"The [ingest](https://scanpy.readthedocs.io/en/latest/api/scanpy.tl.ingest.html) function assumes an annotated reference dataset that captures the biological variability of interest. The rational is to fit a model on the reference data and use it to project new data. For the time being, this model is a PCA combined with a neighbor lookup search tree, for which we use UMAP's [[McInnes18]](https://arxiv.org/abs/1802.03426) implementation. Similar PCA-based integrations have been used before, for instance, in [Weinreb18](https://doi.org/10.1101/467886).\n",
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"\n",
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"* As the `ingest` is simple and the procedure clear, the workflow is transparent and fast.\n",
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"* Like BBKNN, `ingest` leaves the data matrix invariant.\n",

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