Package: clustSIGNAL 1.4.0
clustSIGNAL: ClustSIGNAL: a spatial clustering method
clustSIGNAL: clustering of Spatially Informed Gene expression with Neighbourhood Adapted Learning. A tool for adaptively smoothing and clustering gene expression data. clustSIGNAL uses entropy to measure heterogeneity of cell neighbourhoods and performs a weighted, adaptive smoothing, where homogeneous neighbourhoods are smoothed more and heterogeneous neighbourhoods are smoothed less. This not only overcomes data sparsity but also incorporates spatial context into the gene expression data. The resulting smoothed gene expression data is used for clustering and could be used for other downstream analyses.
Authors:
clustSIGNAL_1.4.0.tar.gz
clustSIGNAL_1.4.0.zip(r-4.7)clustSIGNAL_1.4.0.zip(r-4.6)clustSIGNAL_1.4.0.zip(r-4.5)
clustSIGNAL_1.4.0.tgz(r-4.6-any)clustSIGNAL_1.4.0.tgz(r-4.5-any)
clustSIGNAL_1.4.0.tar.gz(r-4.7-any)clustSIGNAL_1.4.0.tar.gz(r-4.6-any)
clustSIGNAL_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
clustSIGNAL/json (API)
NEWS
| # Install 'clustSIGNAL' in R: |
| install.packages('clustSIGNAL', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sydneybiox/clustsignal/issues
Pkgdown/docs site:https://sydneybiox.github.io
On BioConductor:clustSIGNAL-1.5.1(bioc 3.24)clustSIGNAL-1.4.0(bioc 3.23)
clusteringsoftwaregeneexpressionspatialtranscriptomicssinglecell
Last updated from:420ae66f7d (on RELEASE_3_23). Checks:1 NOTE, 7 WARNING, 1 ERROR, 1 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 207 | ||
| linux-devel-x86_64 | WARNING | 361 | ||
| source / vignettes | ERROR | 314 | ||
| linux-release-x86_64 | WARNING | 419 | ||
| macos-release-arm64 | WARNING | 199 | ||
| macos-oldrel-arm64 | WARNING | 275 | ||
| windows-devel | WARNING | 404 | ||
| windows-release | WARNING | 307 | ||
| windows-oldrel | WARNING | 344 | ||
| wasm-release | OK | 171 |
Exports:adaptiveSmoothingclustSIGNALentropyMeasureneighbourDetectp1_clusteringp2_clustering
Dependencies:abindaskpassassortheadbase64encbeachmatbeeswarmBHBiobaseBiocFileCacheBiocGenericsBiocNeighborsBiocParallelBiocSingularbitbit64blobblustercachemCairocliclustercodetoolscowplotcpp11curlDBIdbplyrDelayedArraydplyrdqrngfarverfastmapfilelockFNNformatRfutile.loggerfutile.optionsgenericsGenomicRangesggbeeswarmggplot2ggrastrggrepelgluegridExtragtableharmonyhttr2igraphIRangesirlbaisobandjsonlitelabelinglambda.rlatticelifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmemoiseopensslpheatmappillarpkgconfigplyrpngpurrrR6raggrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppMLRcppProgressreshape2RhpcBLASctlrjsonrlangRSpectraRSQLitersvdRtsneS4ArraysS4VectorsS7ScaledMatrixscalesscaterscuttleSeqinfoSingleCellExperimentsitmosnowSparseArraySpatialExperimentstringistringrSummarizedExperimentsyssystemfontstextshapingtibbletidyrtidyselectutf8uwotvctrsviporviridisviridisLitewithrXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adaptive smoothing | adaptiveSmoothing |
| ClustSIGNAL | clustSIGNAL |
| Example data with SpatialExperiment object | ClustSignal_example nnCells regXclust spe |
| Heterogeneity measure | entropyMeasure |
| Mouse Embryo Data | mEmbryo2 me_data me_expr |
| Mouse Hypothalamus Data | mHypothal mh_data mh_expr |
| Cell neighbourhood detection | neighbourDetect |
| Initial non-spatial clustering | p1_clustering |
| Final non-spatial clustering | p2_clustering |
