Package: cardelino 1.9.0
cardelino: Clone Identification from Single Cell Data
Methods to infer clonal tree configuration for a population of cells using single-cell RNA-seq data (scRNA-seq), and possibly other data modalities. Methods are also provided to assign cells to inferred clones and explore differences in gene expression between clones. These methods can flexibly integrate information from imperfect clonal trees inferred based on bulk exome-seq data, and sparse variant alleles expressed in scRNA-seq data. A flexible beta-binomial error model that accounts for stochastic dropout events as well as systematic allelic imbalance is used.
Authors:
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cardelino/json (API)
# Install 'cardelino' in R: |
install.packages('cardelino', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/single-cell-genetics/cardelino/issues
- A_clone - A matrix of read numbers of alternative alleles for clone ID
- A_germline - A matrix of read numbers of alternative alleles
- Config_all - A list of tree configuration
- D_clone - A matrix of sequencing depths for clone ID
- D_germline - A matrix of sequencing depths
- D_input - A matrix of sequencing depths
- tree - A tree object
- tree_3clone - A tree object
- tree_4clone - A tree object
- tree_5clone - A tree object
On BioConductor:cardelino-1.9.0(bioc 3.21)cardelino-1.8.0(bioc 3.20)
singlecellrnaseqvisualizationtranscriptomicsgeneexpressionsequencingsoftwareexomeseqclonal-clusteringgibbs-samplingscrna-seqsingle-cellsomatic-mutations
Last updated 2 months agofrom:a8b665e25d. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-win | NOTE | Nov 25 2024 |
R-4.5-linux | NOTE | Nov 25 2024 |
R-4.4-win | NOTE | Nov 25 2024 |
R-4.4-mac | OK | Nov 25 2024 |
R-4.3-win | NOTE | Nov 25 2024 |
R-4.3-mac | OK | Nov 25 2024 |
Exports:assign_cells_to_clonesassign_scoresbinaryPRCbinaryROCclone_idclone_id_EMclone_id_GibbscolMatchdonor_read_simulatorget_snp_matricesget_treeheat_matrixload_cellSNP_vcfload_GT_vcfmixBinommtx_to_dfmultiPRCplot_config_diffsplot_treepredMixBinomprob_heatmappub.themeread_vcfrowArgmaxrowMaxsample_seq_depthsample_tree_SNVsim_read_countvc_heatmap
Dependencies:abindAnnotationDbiapeaplotaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemcliclustercodetoolscolorspacecombinatcpp11crayoncurlDBIDelayedArraydigestdplyrfansifarverfastmapformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesggfunggplot2ggplotifyggtreegluegridGraphicsgtablehttrIRangesisobandjsonliteKEGGRESTlabelinglambda.rlatticelazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisememusemgcvmimemunsellnlmeopensslpatchworkpermutepheatmappillarpinfsc50pkgconfigplogrpngpurrrR6RColorBrewerRcppRCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorsscalessnowsnpStatsSparseArraystringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttidytreetreeioUCSC.utilsutf8VariantAnnotationvcfRvctrsveganviridisLitewithrXMLXVectoryamlyulab.utilszlibbioc