_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
scvelo 0.2.4
Propagated dependencies: python-anndata@0.10.7 python-hnswlib@0.5.2 python-isort@5.12.0 python-igraph@0.10.4-0.b6ebd8e python-loompy@3.0.7 python-louvain@0.16 python-matplotlib@3.8.2 python-numba@0.56.4 python-numpy@1.23.2 python-pandas@2.1.1 python-scanpy@1.9.6 python-scikit-learn@1.4.2 python-scipy@1.12.0 python-umap-learn@0.5.6 pybind11@2.8.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://scvelo.org
Licenses: Modified BSD
Synopsis: RNA velocity generalized through dynamical modeling
Description:

ScVelo is a scalable toolkit for RNA velocity analysis in single cells. RNA velocity enables the recovery of directed dynamic information by leveraging splicing kinetics. scVelo generalizes the concept of RNA velocity by relaxing previously made assumptions with a stochastic and a dynamical model that solves the full transcriptional dynamics. It thereby adapts RNA velocity to widely varying specifications such as non-stationary populations.

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