To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BASiCS")

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BASiCS

DOI: 10.18129/B9.bioc.BASiCS    

Bayesian Analysis of Single-Cell Sequencing data

Bioconductor version: Release (3.6)

Single-cell mRNA sequencing can uncover novel cell-to-cell heterogeneity in gene expression levels in seemingly homogeneous populations of cells. However, these experiments are prone to high levels of technical noise, creating new challenges for identifying genes that show genuine heterogeneous expression within the population of cells under study. BASiCS (Bayesian Analysis of Single-Cell Sequencing data) is an integrated Bayesian hierarchical model to perform statistical analyses of single-cell RNA sequencing datasets in the context of supervised experiments (where the groups of cells of interest are known a priori, e.g. experimental conditions or cell types). BASiCS performs built-in data normalisation (global scaling) and technical noise quantification (based on spike-in genes). BASiCS provides an intuitive detection criterion for highly (or lowly) variable genes within a single group of cells. Additionally, BASiCS can compare gene expression patterns between two or more pre-specified groups of cells. Unlike traditional differential expression tools, BASiCS quantifies changes in expression that lie beyond comparisons of means, also allowing the study of changes in cell-to-cell heterogeneity. The latter are quantified via a biological over-dispersion parameter that measures residual over-dispersion (with respect to Poisson sampling) after normalisation and technical noise removal.

Author: Catalina Vallejos [aut, cre], Nils Eling [aut], Sylvia Richardson [ctb], John Marioni [ctb]

Maintainer: Catalina A. Vallejos <cnvallej at uc.cl>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BASiCS")

Documentation

HTML R Script Introduction to BASiCS
PDF   Reference Manual
Text   NEWS

Details

biocViews Bayesian, CellBiology, DifferentialExpression, GeneExpression, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version 1.0.0
License GPL (>= 2)
Depends R (>= 3.4), SingleCellExperiment
Imports SummarizedExperiment, S4Vectors, BiocGenerics, Rcpp (>= 0.11.3), methods, coda, scran, testthat, data.table, matrixStats, graphics, KernSmooth, grDevices, stats, utils
LinkingTo Rcpp, RcppArmadillo
Suggests knitr, BiocStyle
SystemRequirements
Enhances
URL https://github.com/catavallejos/BASiCS
BugReports https://github.com/catavallejos/BASiCS/issues
Depends On Me
Imports Me
Suggests Me splatter
Build Report  

Package Archives

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Source Package BASiCS_1.0.0.tar.gz
Windows Binary BASiCS_1.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) BASiCS_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BASiCS
Package Short Url http://bioconductor.org/packages/BASiCS/
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