Single-Cell Analysis in Python.
Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes preprocessing, visualization, clustering, pseudotime and trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/ffvbslk66v69pl6qsckqcnykdwr8r5ys-python-scanpy-1.8.1.drv | ||
powerpc64le-linux | /gnu/store/7jxvih2jp8ypf599i9yijxp6g13ypzjw-python-scanpy-1.8.1.drv | ||
mips64el-linux | /gnu/store/dbwaki7f8q1hwm2mgrcz700vnd6xk5q7-python-scanpy-1.8.1.drv | ||
i686-linux | /gnu/store/j7h697vq1ivq4g6pr43p2ln12ycsfvrd-python-scanpy-1.8.1.drv | ||
i586-gnu | /gnu/store/7w0xdixy0mm0is3paspzj9bar9scshia-python-scanpy-1.8.1.drv | ||
armhf-linux | /gnu/store/x79pwhxsv35jqlvmaacxr54sbdmraicl-python-scanpy-1.8.1.drv | ||
aarch64-linux | /gnu/store/0218icr7h6sb7q2ml1sa1bfizpxxrhdd-python-scanpy-1.8.1.drv |
Linter | Message | Location |
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formatting Look for formatting issues in the source | line 11519 is way too long (96 characters) | |
optional-tests Make sure tests are only run when requested | the 'check' phase should respect #:tests? |