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/1nkja3pcvvgss13cbf5xl7iqxn7dkdmr-python-scanpy-1.9.1.drv | ||
riscv64-linux | /gnu/store/rdhh52mp6wvf14g4fmww3335hzhaxhs3-python-scanpy-1.9.1.drv | ||
powerpc-linux | /gnu/store/as0schsxam29ql3wc7m86nyg3l0r6yxb-python-scanpy-1.9.1.drv | ||
powerpc64le-linux | /gnu/store/i0ydrww419sdi16nglm7xi7w15sfjv4k-python-scanpy-1.9.1.drv | ||
mips64el-linux | /gnu/store/l0fm09hdjsxl2jfllbbjhn73l29wxyp7-python-scanpy-1.9.1.drv | ||
i686-linux | /gnu/store/0gnfr70bw0jd94md5isyhmsd1f115wlf-python-scanpy-1.9.1.drv | ||
armhf-linux | /gnu/store/rg591gh45vi9mg8mkhb3l7414qn5dmzj-python-scanpy-1.9.1.drv | ||
aarch64-linux | /gnu/store/qsfrbiw17kjgggcfwxf06v91175fzx55-python-scanpy-1.9.1.drv |
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formatting Look for formatting issues in the source | line 11789 is way too long (98 characters) |