This is the development version of tricycle; for the stable release version, see tricycle.
tricycle: Transferable Representation and Inference of cell cycleBioconductor version: Development (3.22)
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, entercitation("tricycle")): 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("tricycle")
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("tricycle")Follow Installation instructions to use this package in your R session.
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