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/zbkx1hh94af4jw9affb2j7v0rnhxq77v-python-scanpy-1.8.1.drv | ||
powerpc64le-linux | /gnu/store/rbbm1x3d7wj7jjvgc88v6iyg9685kj0j-python-scanpy-1.8.1.drv | ||
mips64el-linux | /gnu/store/j06cl17f1s9q54hgp4a4d8q7jl5acb9w-python-scanpy-1.8.1.drv | ||
i686-linux | /gnu/store/981074a7d45n5jh0l13all0zi53xig14-python-scanpy-1.8.1.drv | ||
i586-gnu | /gnu/store/k6zn6r3wkzz2npxngswlkw36ndsqjfj0-python-scanpy-1.8.1.drv | ||
armhf-linux | /gnu/store/9n17j0s924zasahb324v6gg5mqk8v5yw-python-scanpy-1.8.1.drv | ||
aarch64-linux | /gnu/store/xaqbk81z4x2034rpr6amlmj46h9j5s7a-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? |