tricycle
tricycle: Transferable Representation and Inference of cell cycle
Bioconductor version: 3.23 · Package version: 1.20.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("tricycle") Details
| Maintainer | Shijie Zheng <shijieczheng@gmail.com> |
| Author | Shijie Zheng [aut, cre] |
| License | GPL-3 |
| URL | https://github.com/hansenlab/tricycle |
| Bug Reports | https://github.com/hansenlab/tricycle/issues |
| Downloads rank | 616 |
| Source branch | RELEASE_3_23 |
| biocViews | BiologicalQuestion, DimensionReduction, ImmunoOncology, RNASeq, SingleCell, Software, Transcription, Transcriptomics |
Documentation
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Dependencies
Depends: R (>= 4.0), SingleCellExperiment
Imports: methods, circular, ggplot2, ggnewscale, AnnotationDbi, scater, GenomicRanges, IRanges, S4Vectors, scattermore, dplyr, RColorBrewer, grDevices, stats, SummarizedExperiment, utils
Suggests: testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, CircStats, cowplot, htmltools, Seurat, org.Hs.eg.db, org.Mm.eg.db