Bioconductor version: Release (3.6)
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 <migueljuliamolina at gmail.com>, Amalio Telenti <atelenti at jcvi.org>, Antonio Rausell <antonio.rausell at isb-sib.ch>
Maintainer: Miguel Julia <migueljuliamolina at gmail.com>, Antonio Rausell<antonio.rausell at isb-sib.ch>
Citation (from within R,
enter citation("sincell")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("sincell")
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R Script | Sincell: Analysis of cell state hierarchies from single-cell RNA-seq | |
Reference Manual | ||
Text | NEWS |
biocViews | BiomedicalInformatics, CellBiology, Clustering, FunctionalGenomics, GeneExpression, GeneSetEnrichment, GraphAndNetwork, RNASeq, Sequencing, Software, SystemsBiology, Visualization |
Version | 1.10.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (3 years) |
License | GPL (>= 2) |
Depends | R (>= 3.0.2), igraph |
Imports | Rcpp (>= 0.11.2), entropy, scatterplot3d, MASS, TSP, ggplot2, reshape2, fields, proxy, parallel, Rtsne, fastICA, cluster, statmod |
LinkingTo | Rcpp |
Suggests | BiocStyle, knitr, biomaRt, stringr, monocle |
SystemRequirements | |
Enhances | |
URL | http://bioconductor.org/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | sincell_1.10.0.tar.gz |
Windows Binary | sincell_1.10.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | sincell_1.10.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/sincell |
Package Short Url | http://bioconductor.org/packages/sincell/ |
Package Downloads Report | Download Stats |
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