SIMLR

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see SIMLR.

Title: SIMLR and CIMLR Multi-kernel LeaRning methods


Bioconductor version: 3.6

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 yahoo.com>

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

Installation

To install this package, start R (version "3.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SIMLR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("SIMLR")
SIMLR and CIMLR Multi-kernel LeaRning methods PDF R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Clustering, GeneExpression, Sequencing, SingleCell, Software
Version 1.4.1
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License file LICENSE
Depends R (>= 3.4)
Imports parallel, Matrix, stats, methods, Rcpp, pracma, RcppAnnoy, RSpectra
System Requirements
URL https://github.com/BatzoglouLabSU/SIMLR
Bug Reports https://github.com/BatzoglouLabSU/SIMLR
See More
Suggests BiocGenerics, BiocStyle, testthat, knitr, igraph
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SIMLR_1.4.1.tar.gz
Windows Binary SIMLR_1.4.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) SIMLR_1.4.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/SIMLR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SIMLR
Package Short Url https://bioconductor.org/packages/SIMLR/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive