SIMLR
This is thereleased version of SIMLR; for the devel version, seeSIMLR.
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)
Bioconductor version: Release (3.22)
Single-cell RNA-seq technologies enable high throughput gene expression measurement of individual cells, and allow the discovery of heterogeneity within cell populations. Measurement of cell-to-cell gene expression similarity is critical for the identification, visualization and analysis of cell populations. However, single-cell data introduce challenges to conventional measures of gene expression similarity because of the high level of noise, outliers and dropouts. We develop a novel similarity-learning framework, SIMLR (Single-cell Interpretation via Multi-kernel LeaRning), which learns an appropriate distance metric from the data for dimension reduction, clustering and visualization.
Author: Daniele Ramazzotti [aut]
ORCID: 0000-0002-6087-2666, Bo Wang [aut], Luca De Sano [cre, aut] ORCID: 0000-0002-9618-3774, Serafim Batzoglou [ctb]
Maintainer: Luca De Sano <luca.desano at gmail.com>
citation("SIMLR")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("SIMLR")For older versions of R, please refer to the appropriateBioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SIMLR")| Introduction | HTML | R Script |
| Running SIMLR | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | Clustering,GeneExpression,ImmunoOncology,Sequencing,SingleCell,Software |
| Version | 1.36.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (9 years) |
| License | fileLICENSE |
| Depends | R (>= 4.1.0) |
| 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
FollowInstallation instructions to use this package in your R session.
| Source Package | SIMLR_1.36.0.tar.gz |
| Windows Binary (x86_64) | SIMLR_1.36.0.zip (64-bit only) |
| macOS Binary (x86_64) | SIMLR_1.36.0.tgz |
| macOS Binary (arm64) | SIMLR_1.36.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/SIMLR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SIMLR |
| Bioc Package Browser | https://code.bioconductor.org/browse/SIMLR/ |
| Package Short Url | https://bioconductor.org/packages/SIMLR/ |
| Package Downloads Report | Download Stats |