DOI: 10.18129/B9.bioc.SIMLR    

This is the development version of SIMLR; for the stable release version, see SIMLR.

Title: SIMLR and CIMLR Multi-kernel LeaRning methods

Bioconductor version: Development (3.8)

In this package we provide implementations of both SIMLR and CIMLR. These methods were originally applied to single-cell and cancer genomic data, but they are in principle capable of effectively and efficiently learning similarities in all the contexts where diverse and heterogeneous statistical characteristics of the data make the problem harder for standard approaches.

Author: Daniele Ramazzotti [aut, cre], Bo Wang [aut], Luca De Sano [aut], Serafim Batzoglou [ctb]

Maintainer: Daniele Ramazzotti <daniele.ramazzotti at>

Citation (from within R, enter citation("SIMLR")):


To install this package, start R and enter:

if (!requireNamespace("BiocManager", quietly=TRUE))
BiocManager::install("SIMLR", version = "devel")


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script SIMLR and CIMLR Multi-kernel LeaRning methods
PDF   Reference Manual
Text   NEWS


biocViews Clustering, GeneExpression, Sequencing, SingleCell, Software
Version 1.7.0
In Bioconductor since BioC 3.4 (R-3.3) (2 years)
License file LICENSE
Depends R (>= 3.4)
Imports parallel, Matrix, stats, methods, Rcpp, pracma, RcppAnnoy, RSpectra
LinkingTo Rcpp
Suggests BiocGenerics, BiocStyle, testthat, knitr, igraph
Depends On Me
Imports Me
Suggests Me
Build Report  

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Source Package SIMLR_1.7.0.tar.gz
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Mac OS X 10.11 (El Capitan) SIMLR_1.7.0.tgz
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