Package: SpaNorm 1.1.0
SpaNorm: Spatially-aware normalisation for spatial transcriptomics data
This package implements the spatially aware library size normalisation algorithm, SpaNorm. SpaNorm normalises out library size effects while retaining biology through the modelling of smooth functions for each effect. Normalisation is performed in a gene- and cell-/spot- specific manner, yielding library size adjusted data.
Authors:
SpaNorm_1.1.0.tar.gz
SpaNorm_1.1.0.zip(r-4.5)SpaNorm_1.1.0.zip(r-4.4)
SpaNorm_1.1.0.tgz(r-4.4-any)
SpaNorm_1.1.0.tar.gz(r-4.5-noble)SpaNorm_1.1.0.tar.gz(r-4.4-noble)
SpaNorm_1.1.0.tgz(r-4.4-emscripten)
SpaNorm.pdf |SpaNorm.html✨
SpaNorm/json (API)
NEWS
# Install 'SpaNorm' in R: |
install.packages('SpaNorm', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bhuvad/spanorm/issues
Pkgdown:https://bhuvad.github.io
- HumanDLPFC - Human dorsolateral prefrontal cortex (DLPFC) visium sample
On BioConductor:SpaNorm-1.1.0(bioc 3.21)SpaNorm-1.0.0(bioc 3.20)
softwaregeneexpressiontranscriptomicsspatialcellbiology
Last updated 2 months agofrom:6bf7b580af. Checks:OK: 1 NOTE: 4. 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 |
Exports:fastSizeFactorsfilterGenesplotSpatialSpaNorm
Dependencies:abindaskpassassortheadbeachmatBHBiobaseBiocFileCacheBiocGenericsBiocNeighborsBiocParallelBiocSingularbitbit64blobblustercachemcliclustercodetoolscolorspacecpp11crayoncurlDBIdbplyrDelayedArraydigestdotCall64dplyrdqrngedgeRfansifarverfastmapfilelockformatRfutile.loggerfutile.optionsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2globalsgluegtablehttrigraphIRangesirlbaisobandjsonlitelabelinglambda.rlatticelifecyclelimmalistenvlocfitmagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemetapodmgcvmimemunsellnlmeopensslparallellypillarpkgconfigplogrprogressrpurrrR6RColorBrewerRcppRcppEigenrjsonrlangRSQLitersvdS4ArraysS4VectorsScaledMatrixscalesscranscuttleSeuratObjectSingleCellExperimentsitmosnowspspamSparseArraySpatialExperimentstatmodstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Filter genes based on expression | fastSizeFactors fastSizeFactors,SpatialExperiment-method |
Filter genes based on expression | filterGenes filterGenes,Seurat-method filterGenes,SpatialExperiment-method |
Human dorsolateral prefrontal cortex (DLPFC) visium sample | HumanDLPFC |
Plot spatial transcriptomic annotations per spot | plotSpatial |
Spatially-dependent normalisation for spatial transcriptomics data | SpaNorm SpaNorm,SpatialExperiment-method |
An S4 class to store a SpaNorm model fit | $,SpaNormFit-method SpaNormFit SpaNormFit-class |