This is the released version of miloR; for the devel version, see miloR.
Differential neighbourhood abundance testing on a graphBioconductor version: Release (3.21)
Milo performs single-cell differential abundance testing. Cell states are modelled as representative neighbourhoods on a nearest neighbour graph. Hypothesis testing is performed using either a negative bionomial generalized linear model or negative binomial generalized linear mixed model.
Author: Mike Morgan [aut, cre] ORCID: 0000-0003-0757-0711 , Emma Dann [aut, ctb]
Maintainer: Mike Morgan <michael.morgan at abdn.ac.uk>
Citation (from within R, entercitation("miloR")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("miloR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("miloR")
Differential abundance testing with Milo HTML R Script Differential abundance testing with Milo - Mouse gastrulation example HTML R Script Mixed effect models for Milo DA testing HTML R Script Using contrasts for differential abundance testing HTML R Script Reference Manual PDF NEWS Text LICENSE Text Details biocViews FunctionalGenomics, MultipleComparison, SingleCell, Software Version 2.4.1 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License GPL-3 + file LICENSE Depends R (>= 4.0.0), edgeR Imports BiocNeighbors, BiocGenerics, SingleCellExperiment, Matrix (>= 1.3-0), MatrixGenerics, S4Vectors, stats, stringr, methods, igraph, irlba, utils, cowplot, BiocParallel, BiocSingular, limma, ggplot2, tibble, matrixStats, ggraph, gtools, SummarizedExperiment, patchwork, tidyr, dplyr, ggrepel, ggbeeswarm, RColorBrewer, grDevices, Rcpp, pracma, numDeriv System Requirements URL https://marionilab.github.io/miloR Bug Reports https://github.com/MarioniLab/miloR/issues See More Suggests testthat, mvtnorm, scater, scran, covr, knitr, rmarkdown, uwot, scuttle, BiocStyle, MouseGastrulationData, MouseThymusAgeing, magick, RCurl, MASS, curl, scRNAseq, graphics, sparseMatrixStats Linking To Rcpp, RcppArmadillo, RcppEigen, RcppML Enhances Depends On Me Imports Me dandelionR Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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