This is the development version of condiments; for the stable release version, see condiments.
Differential Topology, Progression and DifferentiationBioconductor version: Development (3.22)
This package encapsulate many functions to conduct a differential topology analysis. It focuses on analyzing an 'omic dataset with multiple conditions. While the package is mostly geared toward scRNASeq, it does not place any restriction on the actual input format.
Author: Hector Roux de Bezieux [aut, cre] ORCID: 0000-0002-1489-8339 , Koen Van den Berge [aut, ctb], Kelly Street [aut, ctb]
Maintainer: Hector Roux de Bezieux <hector.rouxdebezieux at berkeley.edu>
Citation (from within R, entercitation("condiments")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("condiments")
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("condiments")
Details biocViews MultipleComparison, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization Version 1.17.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License MIT + file LICENSE Depends R (>= 4.0) Imports slingshot(>= 1.9), mgcv, RANN, stats, SingleCellExperiment, SummarizedExperiment, utils, magrittr, dplyr (>= 1.0), Ecume (>= 0.9.1), methods, pbapply, matrixStats, BiocParallel, TrajectoryUtils, igraph, distinct System Requirements URL https://hectorrdb.github.io/condiments/index.html Bug Reports https://github.com/HectorRDB/condiments/issues See More Suggests knitr, testthat, rmarkdown, covr, viridis, ggplot2, RColorBrewer, randomForest, tidyr, TSCAN, DelayedMatrixStats Linking To 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.
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