tricycle

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see tricycle.

tricycle: Transferable Representation and Inference of cell cycle


Bioconductor version: 3.16

The package contains functions to infer and visualize cell cycle process using Single Cell RNASeq data. It exploits the idea of transfer learning, projecting new data to the previous learned biologically interpretable space. We provide a pre-learned cell cycle space, which could be used to infer cell cycle time of human and mouse single cell samples. In addition, we also offer functions to visualize cell cycle time on different embeddings and functions to build new reference.

Author: Shijie Zheng [aut, cre]

Maintainer: Shijie Zheng <shijieczheng at gmail.com>

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

Installation

To install this package, start R (version "4.2") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("tricycle")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("tricycle")
tricycle: Transferable Representation and Inference of Cell Cycle HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews BiologicalQuestion, DimensionReduction, ImmunoOncology, RNASeq, SingleCell, Software, Transcription, Transcriptomics
Version 1.6.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License GPL-3
Depends R (>= 4.0), SingleCellExperiment
Imports methods, circular, ggplot2, ggnewscale, AnnotationDbi, scater, GenomicRanges, IRanges, S4Vectors, scattermore, dplyr, RColorBrewer, grDevices, stats, SummarizedExperiment, utils
System Requirements
URL https://github.com/hansenlab/tricycle
Bug Reports https://github.com/hansenlab/tricycle/issues
See More
Suggests testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, CircStats, cowplot, htmltools, Seurat, org.Hs.eg.db, org.Mm.eg.db
Linking To
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package tricycle_1.6.0.tar.gz
Windows Binary tricycle_1.6.0.zip
macOS Binary (x86_64) tricycle_1.6.0.tgz
macOS Binary (arm64) tricycle_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/tricycle
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/tricycle
Bioc Package Browser https://code.bioconductor.org/browse/tricycle/
Package Short Url https://bioconductor.org/packages/tricycle/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.16 Source Archive