Bioconductor version: Release (3.6)
Single-cell RNA-seq (scRNA-seq) is widely used to investigate the composition of complex tissues since the technology allows researchers to define cell-types using unsupervised clustering of the transcriptome. However, due to differences in experimental methods and computational analyses, it is often challenging to directly compare the cells identified in two different experiments. scmap is a method for projecting cells from a scRNA-seq experiment on to the cell-types or individual cells identified in a different experiment.
Author: Vladimir Kiselev
Maintainer: Vladimir Kiselev <vladimir.yu.kiselev at gmail.com>
Citation (from within R,
enter citation("scmap")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("scmap")
HTML | R Script | `scmap` package vignette |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, DataImport, DataRepresentation, GeneExpression, Preprocessing, RNASeq, Sequencing, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization |
Version | 1.1.5 |
License | GPL-3 |
Depends | R (>= 3.4) |
Imports | Biobase, SingleCellExperiment, SummarizedExperiment, BiocGenerics, S4Vectors, dplyr, reshape2, matrixStats, proxy, utils, googleVis, ggplot2, methods, stats, e1071, randomForest, Rcpp (>= 0.12.12) |
LinkingTo | Rcpp, RcppArmadillo |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | https://github.com/hemberg-lab/scmap |
BugReports | https://support.bioconductor.org/t/scmap/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | scmap_1.1.5.tar.gz |
Windows Binary | scmap_1.1.5.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | scmap_1.1.5.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scmap |
Package Short Url | http://bioconductor.org/packages/scmap/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.6 | Source Archive |
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