bioconda / packages / bioconductor-sincell 1.20.0

R package for the statistical assessment of cell state hierarchies from single-cell RNA-seq data


Info: This package contains files in non-standard labels.

conda install

  • linux-64  v1.20.0
  • osx-64  v1.20.0
To install this package with conda run one of the following:
conda install -c bioconda bioconductor-sincell
conda install -c bioconda/label/gcc7 bioconductor-sincell
conda install -c bioconda/label/cf201901 bioconductor-sincell


Cell differentiation processes are achieved through a continuum of hierarchical intermediate cell-states that might be captured by single-cell RNA seq. Existing computational approaches for the assessment of cell-state hierarchies from single-cell data might be formalized under a general workflow composed of i) a metric to assess cell-to-cell similarities (combined or not with a dimensionality reduction step), and ii) a graph-building algorithm (optionally making use of a cells-clustering step). Sincell R package implements a methodological toolbox allowing flexible workflows under such framework. Furthermore, Sincell contributes new algorithms to provide cell-state hierarchies with statistical support while accounting for stochastic factors in single-cell RNA seq. Graphical representations and functional association tests are provided to interpret hierarchies.

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