slingshot
Tools for ordering single-cell sequencing
Bioconductor version: 3.23 · Package version: 2.20.0
Provides functions for inferring continuous, branching lineage structures in low-dimensional data. Slingshot was designed to model developmental trajectories in single-cell RNA sequencing data and serve as a component in an analysis pipeline after dimensionality reduction and clustering. It is flexible enough to handle arbitrarily many branching events and allows for the incorporation of prior knowledge through supervised graph construction.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("slingshot") Details
| Maintainer | Kelly Street <street.kelly@gmail.com> |
| Author | Kelly Street [aut, cre, cph], Davide Risso [aut], Diya Das [aut], Sandrine Dudoit [ths], Koen Van den Berge [ctb], Robrecht Cannoodt [ctb] (ORCID: <https://orcid.org/0000-0003-3641-729X>, github: rcannood) |
| License | Artistic-2.0 |
| Bug Reports | https://github.com/kstreet13/slingshot/issues |
| Downloads rank | 3524 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, DifferentialExpression, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization |
Documentation
- Differential Topology: Comparing Conditions along a Trajectory
- Slingshot: Trajectory Inference for Single-Cell Data
Download
Dependencies
Depends: R (>= 4.0), princurve (>= 2.0.4), stats, TrajectoryUtils
Imports: graphics, grDevices, igraph, matrixStats, methods, S4Vectors, SingleCellExperiment, SummarizedExperiment
Suggests: BiocGenerics, BiocStyle, clusterExperiment, DelayedMatrixStats, knitr, mclust, mgcv, RColorBrewer, rgl, rmarkdown, testthat, uwot, covr
Reverse dependencies
Imports Me (3): condiments, scRNAseqApp, tradeSeq
Suggests Me (4): blase, dandelionR, RaceID, scLANE