anndata: Annotated data
Summary anndata is a Python package for handling annotated data matrices in memory and on disk (<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://github.com/theislab/anndata">github.com/theislab/anndata</jats:ext-link>), positioned between pandas and xarray. anndata offers a broad range of computationally efficient features including, among others, sparse data support, lazy operations, and a PyTorch interface.Statement of need Generating insight from high-dimensional data matrices typically works through training models that annotate observations and variables via low-dimensional representations. In exploratory data analysis, this involvesiterativetraining and analysis using original and learned annotations and task-associated representations. anndata offers a canonical data structure for book-keeping these, which is neither addressed by pandas (McKinney, 2010), nor xarray (Hoyer & Hamman, 2017), nor commonly-used modeling packages like scikit-learn (Pedregosa et al., 2011)..
| Medienart: |
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Preprint| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
bioRxiv.org - (2023) vom: 19. Jan. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Virshup, Isaac [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.1101/2021.12.16.473007 |
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| funding: |
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| PPN (Katalog-ID): |
XBI033256462 |
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| 245 | 1 | 0 | |a anndata: Annotated data |
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| 520 | |a Summary anndata is a Python package for handling annotated data matrices in memory and on disk (<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://github.com/theislab/anndata">github.com/theislab/anndata</jats:ext-link>), positioned between pandas and xarray. anndata offers a broad range of computationally efficient features including, among others, sparse data support, lazy operations, and a PyTorch interface.Statement of need Generating insight from high-dimensional data matrices typically works through training models that annotate observations and variables via low-dimensional representations. In exploratory data analysis, this involvesiterativetraining and analysis using original and learned annotations and task-associated representations. anndata offers a canonical data structure for book-keeping these, which is neither addressed by pandas (McKinney, 2010), nor xarray (Hoyer & Hamman, 2017), nor commonly-used modeling packages like scikit-learn (Pedregosa et al., 2011). | ||
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| 700 | 1 | |a Rybakov, Sergei |e verfasserin |4 aut | |
| 700 | 1 | |a Theis, Fabian J. |e verfasserin |4 aut | |
| 700 | 1 | |a Angerer, Philipp |e verfasserin |4 aut | |
| 700 | 1 | |a Wolf, F. Alexander |e verfasserin |4 aut | |
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