Package: dandelionR 1.5.0
dandelionR: Single-cell Immune Repertoire Trajectory Analysis in R
dandelionR is an R package for performing single-cell immune repertoire trajectory analysis, based on the original python implementation. It provides the necessary functions to interface with scRepertoire and a custom implementation of an absorbing Markov chain for pseudotime inference, inspired by the Palantir Python package.
Authors:
dandelionR_1.5.0.tar.gz
dandelionR_1.5.0.zip(r-4.7)dandelionR_1.5.0.zip(r-4.6)dandelionR_1.5.0.zip(r-4.5)
dandelionR_1.5.0.tgz(r-4.6-any)dandelionR_1.5.0.tgz(r-4.5-any)
dandelionR_1.5.0.tar.gz(r-4.7-any)dandelionR_1.5.0.tar.gz(r-4.6-any)
dandelionR_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dandelionR/json (API)
NEWS
| # Install 'dandelionR' in R: |
| install.packages('dandelionR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tuonglab/dandelionr/issues
On BioConductor:dandelionR-1.5.0(bioc 3.24)dandelionR-1.4.0(bioc 3.23)
softwareimmunooncologysinglecell
Last updated from:28f4e0c808. Checks:8 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 267 | ||
| linux-devel-x86_64 | NOTE | 566 | ||
| source / vignettes | OK | 436 | ||
| linux-release-x86_64 | NOTE | 472 | ||
| macos-release-arm64 | NOTE | 241 | ||
| macos-oldrel-arm64 | NOTE | 220 | ||
| windows-devel | NOTE | 395 | ||
| windows-release | NOTE | 351 | ||
| windows-oldrel | NOTE | 351 | ||
| wasm-release | OK | 198 |
Exports:markovProbabilitymiloUmapprojectPseudotimeToCellsetupVdjPseudobulkvdjPseudobulk
Dependencies:abindassortheadbackportsbase64encbbotkbeachmatbeeswarmBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularblusterbootbroomcachemcarcarDatacheckmateclasscliclustercodetoolscolorspacecowplotcpp11data.tableDelayedArrayDEoptimRDerivdestinydigestdoBydotCall64dplyrdqrnge1071edgeRevaluatefarverfastmapFNNforecastformatRFormulafracdifffutile.loggerfutile.optionsfuturefuture.applygenericsGenomicRangesggbeeswarmggforceggplot.multistatsggplot2ggraphggrepelggthemesglobalsgluegraphlayoutsgridExtragtablegtoolshexbinigraphIRangesirlbaisobandjsonliteknn.covertreelabelinglaekenlambda.rlatticelgrlifecyclelimmalistenvlme4lmtestlocfitmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmiloRminqamiraimlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3pipelinesmlr3tuningmodelrnanonextnlmenloptrnnetnumDerivpalmerpenguinsparadoxparallellypatchworkpbkrtestpcaMethodspillarpkgconfigpolyclippracmaproxyPRROCpurrrquantregR6rangerRANNrbibutilsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRdpackreformulasrlangrobustbaseRSpectrarsvdS4ArraysS4VectorsS7ScaledMatrixscalesscatterplot3dSeqinfoSingleCellExperimentsitmosnowspspamSparseArraySparseMstatmodstringistringrSummarizedExperimentsurvivalsystemfontstibbletidygraphtidyrtidyselecttimeDatetweenrurcautf8uuiduwotvcdvctrsVIMviporviridisviridisLitewithrxgboostXVectorzoo
Reproducing the original dandelion method/paper
Rendered fromvignette_reproduce_original.rmdusingknitr::rmarkdownon May 28 2026.Last update: 2025-08-08
Started: 2024-12-13
Single-cell immune repertoire trajectory analysis with dandelionR
Rendered fromdandelionR.Rmdusingknitr::rmarkdownon May 28 2026.Last update: 2025-08-08
Started: 2025-02-07
Single-cell immune repertoire trajectory analysis with dandelionR and slingshot
Rendered fromdandelionR_with_slingshot.Rmdusingknitr::rmarkdownon May 28 2026.Last update: 2025-08-08
Started: 2025-08-08
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example AIRR Dataset for V(D)J Analysis | demo_airr |
| Example SCE Dataset that does not contain V(D)J information | demo_sce |
| Compute Branch Probabilities Using Markov Chain | differentiationProbabilities |
| Markov Chain Construction and Probability Calculation | markovProbability |
| Perform UMAP on the Adjacency Matrix of a Milo Object | miloUmap |
| Function to project pseudobulk-level values to single-cell level | project_single_value |
| Project Probabilities from Markov Chain to Pseudobulks | projectProbability |
| Project Pseudotime and Branch Probabilities to Single Cells | projectPseudotimeToCell |
| Example Dataset for V(D)J Analysis | sce_vdj |
| Preprocess V(D)J Data for Pseudobulk Analysis | setupVdjPseudobulk |
| Generate Pseudobulk V(D)J Feature Space | vdjPseudobulk |
