SCANPY : large-scale single-cell gene expression data analysis
F. Alexander Wolf, Philipp Angerer, Fabian J. Theis · 2018
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Description
Alexander Wolf, Philipp Angerer, and Fabian Theis introduced Scanpy in 2018. Scanpy is a Python toolkit for single-cell gene expression data, which can cover millions of cells. Analysts need cleaning, grouping, and plotting steps that still run fast at that size.
The toolkit covers preprocessing, clustering, trajectory building, and tests for genes that differ between groups. It can also simulate gene networks for method testing. Its design borrows the data handling style of larger machine learning tools. Scanpy became one of the main ways single-cell data are explored, and many later tools build on it.
Catalog record
| CREATOR | F. Alexander Wolf, Philipp Angerer, Fabian J. Theis |
|---|---|
| YEAR | 2018 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 21 KB |
| LICENSE | Creative Commons Attribution License |
| RIGHTS | CC BY |
| SOURCE | PubMed Central |