Bioconductor version: Release (3.8)
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.
Author: Miguel Julia , Amalio Telenti , Antonio Rausell
Maintainer: Miguel Julia , Antonio Rausell
Citation (from within R, enter citation("sincell")
):
Juliá M, Telenti A, Rausell A (2014). “Sincell: R package for the statistical assessment of cell state hierarchies from single-cell RNA-seq data.” bioRxiv. http://dx.doi.org/.
To install this package, start R (version "3.5") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("sincell", version = "3.8")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sincell")
| Document | Script | Title | | :-------------: |:-------------:| :------------------| | PDF | R Script | Sincell: Analysis of cell state hierarchies from single-cell RNA-seq | | PDF | - | Reference Manual | | Text | - | NEWS |
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