Package: spoon 1.1.3

Kinnary Shah

spoon: Address the Mean-variance Relationship in Spatial Transcriptomics Data

This package addresses the mean-variance relationship in spatially resolved transcriptomics data. Precision weights are generated for individual observations using Empirical Bayes techniques. These weights are used to rescale the data and covariates, which are then used as input in spatially variable gene detection tools.

Authors:Kinnary Shah [aut, cre], Boyi Guo [aut], Stephanie C. Hicks [aut]

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Bug tracker:https://github.com/kinnaryshah/spoon/issues

On BioConductor:spoon-1.1.0(bioc 3.20)spoon-1.0.0(bioc 3.19)

bioconductor-package

2 exports 1.31 score 83 dependencies

Last updated 8 days agofrom:2251a9a72b

Exports:generate_weightsweighted_nnSVG

Dependencies:abindaskpassbeachmatBHBiobaseBiocFileCacheBiocGenericsBiocParallelbitbit64blobBRISCcachemclicodetoolscpp11crayoncurlDBIdbplyrDelayedArrayDelayedMatrixStatsdplyrfansifastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrIRangesjsonlitelambda.rlatticelifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmemoisemimennSVGopensslpbapplypillarpkgconfigplogrpurrrR6RANNRcppRcppArmadillordistrjsonrlangRSQLiteS4ArraysS4VectorsscuttleSingleCellExperimentsnowSparseArraysparseMatrixStatsSpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrswithrXVectorzlibbioc