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scLANE

Model Gene Expression Dynamics with Spline-Based NB GLMs, GEEs, & GLMMs

Bioconductor version: 3.23 · Package version: 1.2.0

Our scLANE model uses truncated power basis spline models to build flexible, interpretable models of single cell gene expression over pseudotime or latent time. The modeling architectures currently supported are Negative-binomial GLMs, GEEs, & GLMMs. Downstream analysis functionalities include model comparison, dynamic gene clustering, smoothed counts generation, gene set enrichment testing, & visualization.

Installation

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

BiocManager::install("scLANE")

Details

MaintainerJack R. Leary <j.leary@ufl.edu>
AuthorJack R. Leary [aut, cre] (ORCID: <https://orcid.org/0009-0004-8821-3269>), Rhonda Bacher [ctb, fnd] (ORCID: <https://orcid.org/0000-0001-5787-476X>)
LicenseMIT + file LICENSE
URLhttps://github.com/jr-leary7/scLANE
Bug Reportshttps://github.com/jr-leary7/scLANE/issues
Downloads rank297
Source branchRELEASE_3_23
biocViewsClustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, RNASeq, Regression, Sequencing, SingleCell, Software, TimeCourse, Transcriptomics, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagescLANE_1.2.0.tar.gz
Windows binary (x86_64)scLANE_1.2.0.zip
macOS binary (arm64)scLANE_1.2.0.tgz
macOS binary (x86_64)scLANE_1.2.0.tgz
Dependencies

Depends: glm2, magrittr, R (>= 4.5.0)

Imports: geeM, MASS, mpath, dplyr, stats, utils, withr, purrr, tidyr, furrr, doSNOW, gamlss, scales, future, Matrix, ggplot2, splines, foreach, glmmTMB, parallel, RcppEigen, bigstatsr, tidyselect, broom.mixed, Rcpp

LinkingTo: Rcpp, RcppEigen

Suggests: covr, grid, coop, uwot, scran, ggh4x, knitr, UCell, irlba, rlang, magick, igraph, scater, gtable, ggpubr, viridis, bluster, cluster, circlize, speedglm, rmarkdown, gridExtra, BiocStyle, slingshot, gprofiler2, GenomeInfoDb, BiocParallel, BiocGenerics, BiocNeighbors, ComplexHeatmap, Seurat (>= 5.0.0), testthat (>= 3.0.0), SingleCellExperiment, SummarizedExperiment