Package: speckle 1.7.0
Belinda Phipson
speckle: Statistical methods for analysing single cell RNA-seq data
The speckle package contains functions for the analysis of single cell RNA-seq data. The speckle package currently contains functions to analyse differences in cell type proportions. There are also functions to estimate the parameters of the Beta distribution based on a given counts matrix, and a function to normalise a counts matrix to the median library size. There are plotting functions to visualise cell type proportions and the mean-variance relationship in cell type proportions and counts. As our research into specialised analyses of single cell data continues we anticipate that the package will be updated with new functions.
Authors:
speckle_1.7.0.tar.gz
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speckle.pdf |speckle.html✨
speckle/json (API)
NEWS
# Install 'speckle' in R: |
install.packages('speckle', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- pbmc_props - Cell type proportions from single cell PBMC data
On BioConductor:speckle-1.7.0(bioc 3.21)speckle-1.6.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
singlecellrnaseqregressiongeneexpression
Last updated 1 months agofrom:204269ec38. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 30 2024 |
R-4.5-win | NOTE | Nov 30 2024 |
R-4.5-linux | NOTE | Nov 30 2024 |
R-4.4-win | NOTE | Nov 30 2024 |
R-4.4-mac | NOTE | Nov 30 2024 |
R-4.3-win | NOTE | Nov 30 2024 |
R-4.3-mac | NOTE | Nov 30 2024 |
Exports:convertDataToListestimateBetaParamestimateBetaParamsFromCountsgetTransformedPropsggplotColorsnormCountsplotCellTypeMeanVarplotCellTypePropsplotCellTypePropsMeanVarpropellerpropeller.anovapropeller.ttestspeckle_example_data
Dependencies:abindaskpassbase64encBHBiobaseBiocGenericsbitopsbslibcachemcaToolscliclustercodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDelayedArraydeldirdigestdotCall64dplyrdqrngedgeRevaluatefansifarverfastDummiesfastmapfitdistrplusFNNfontawesomefsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphIRangesirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleidenlifecyclelimmalistenvlmtestlocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminiUImunsellnlmeopensslparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRSpectraRtsneS4ArraysS4VectorssassscalesscattermoresctransformSeuratSeuratObjectshinySingleCellExperimentsitmosourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstatmodstringistringrSummarizedExperimentsurvivalsystensortibbletidyrtidyselecttinytexUCSC.utilsutf8uwotvctrsviridisLitewithrxfunxtableXVectoryamlzlibbioczoo