Package: FuseSOM 1.9.0
Elijah Willie
FuseSOM: A Correlation Based Multiview Self Organizing Maps Clustering For IMC Datasets
A correlation-based multiview self-organizing map for the characterization of cell types in highly multiplexed in situ imaging cytometry assays (`FuseSOM`) is a tool for unsupervised clustering. `FuseSOM` is robust and achieves high accuracy by combining a `Self Organizing Map` architecture and a `Multiview` integration of correlation based metrics. This allows FuseSOM to cluster highly multiplexed in situ imaging cytometry assays.
Authors:
FuseSOM_1.9.0.tar.gz
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FuseSOM_1.9.0.tgz(r-4.4-x86_64)FuseSOM_1.9.0.tgz(r-4.4-arm64)FuseSOM_1.9.0.tgz(r-4.3-x86_64)FuseSOM_1.9.0.tgz(r-4.3-arm64)
FuseSOM_1.9.0.tar.gz(r-4.5-noble)FuseSOM_1.9.0.tar.gz(r-4.4-noble)
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FuseSOM.pdf |FuseSOM.html✨
FuseSOM/json (API)
NEWS
| # Install 'FuseSOM' in R: |
| install.packages('FuseSOM', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ecool50/fusesom/issues
- risom_dat - IMC Breast Cancer Data Data from A spatial atlas of breast cancer progression using MIBI-TOF and tissue transcriptomics
On BioConductor:FuseSOM-1.7.0(bioc 3.20)FuseSOM-1.6.0(bioc 3.19)
singlecellcellbasedassaysclusteringspatial
Last updated 23 days agofrom:5ce22977f5. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win-x86_64 | OK | Oct 30 2024 |
| R-4.5-linux-x86_64 | OK | Oct 30 2024 |
| R-4.4-win-x86_64 | OK | Oct 30 2024 |
| R-4.4-mac-x86_64 | OK | Oct 31 2024 |
| R-4.4-mac-aarch64 | OK | Oct 31 2024 |
| R-4.3-win-x86_64 | OK | Oct 30 2024 |
| R-4.3-mac-x86_64 | OK | Oct 31 2024 |
| R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:clusterPrototypescomputeGridSizeestimateNumClustergeneratePrototypesmarkerHeatmapnormaliseDataoptiPlotrunFuseSOM
Dependencies:abindanalogueaskpassbackportsBiobaseBiocGenericsbootbrglmbroomcarcarDataclasscliclustercolorspacecoopcorrplotcowplotcpp11crayoncurlDataVisualizationsDelayedArrayDEoptimRDerivdigestdiptestdoBydplyrfansifarverfastclusterFCPSflexmixFormulafpcfsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggplotifyggpubrggrepelggsciggsignifglueGPArotationgridExtragridGraphicsgtablehttrIRangesisobandjsonlitekernlablabelinglatticelifecyclelme4magrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmclustmgcvmicrobenchmarkmimeminqamnormtmodelrmodeltoolsmunsellnlmenloptrnnetnumDerivopensslpbkrtestpermutepheatmappillarpkgconfigplyrpolynomprabcluspracmaprincurveprofileModelproxypsychpurrrquantregR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrobustbaserstatixS4ArraysS4VectorsscalesspSparseArraySparseMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselectUCSC.utilsutf8vctrsveganviridisLitewithrXVectoryulab.utilszlibbioc
