Package: sincell 1.45.0
sincell: R package for the statistical assessment of cell state hierarchies from single-cell RNA-seq data
Cell differentiation processes are achieved through a continuum of hierarchical intermediate cell-states that might be captured by single-cell RNA seq. Existing computational approaches for the assessment of cell-state hierarchies from single-cell data might be formalized under a general workflow composed of i) a metric to assess cell-to-cell similarities (combined or not with a dimensionality reduction step), and ii) a graph-building algorithm (optionally making use of a cells-clustering step). Sincell R package implements a methodological toolbox allowing flexible workflows under such framework. Furthermore, Sincell contributes new algorithms to provide cell-state hierarchies with statistical support while accounting for stochastic factors in single-cell RNA seq. Graphical representations and functional association tests are provided to interpret hierarchies.
Authors:
sincell_1.45.0.tar.gz
sincell_1.45.0.zip(r-4.7)sincell_1.45.0.zip(r-4.6)sincell_1.45.0.zip(r-4.5)
sincell_1.45.0.tgz(r-4.6-x86_64)sincell_1.45.0.tgz(r-4.6-arm64)sincell_1.45.0.tgz(r-4.5-x86_64)sincell_1.45.0.tgz(r-4.5-arm64)
sincell_1.45.0.tar.gz(r-4.7-arm64)sincell_1.45.0.tar.gz(r-4.7-x86_64)sincell_1.45.0.tar.gz(r-4.6-arm64)sincell_1.45.0.tar.gz(r-4.6-x86_64)
sincell_1.45.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sincell/json (API)
NEWS
| # Install 'sincell' in R: |
| install.packages('sincell', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- ExpressionMatrix - Single-cell expression data for genes differentially expressed in differentiating human skeletal muscle myoblasts cells
- geneset.list - Example of a geneset collection
On BioConductor:sincell-1.45.0(bioc 3.24)sincell-1.44.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologysequencingrnaseqclusteringgraphandnetworkvisualizationgeneexpressiongenesetenrichmentbiomedicalinformaticscellbiologyfunctionalgenomicssystemsbiologycpp
Last updated from:99d31de791. Checks:2 ERROR, 11 WARNING, 1 OK. Indexed: yes.
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| linux-devel-arm64 | WARNING | 246 | ||
| linux-devel-x86_64 | WARNING | 286 | ||
| source / vignettes | ERROR | 258 | ||
| linux-release-arm64 | WARNING | 246 | ||
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| macos-release-x86_64 | WARNING | 317 | ||
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| macos-oldrel-x86_64 | WARNING | 293 | ||
| windows-devel | WARNING | 183 | ||
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| windows-oldrel | WARNING | 183 | ||
| wasm-release | OK | 152 |
Exports:f_distance2vectorknnalgorithmpseudoreplicatesbymodelpseudoreplicatesbynoisepseudoreplicatesbynoise_cv2sc_AssociationOfCellsHierarchyWithAGeneSetsc_clusterObjsc_ComparissonOfGraphssc_DimensionalityReductionObjsc_distanceObjsc_GraphBuilderObjsc_InitializingSincellObjectsc_InSilicoCellsReplicatesObjsc_marker2colorsc_StatisticalSupportByGeneSubsamplingsc_StatisticalSupportByReplacementWithInSilicoCellsReplicatessstalgorithm
Dependencies:cliclustercodetoolscpp11dotCall64entropyfarverfastICAfieldsforeachggplot2gluegtableigraphisobanditeratorslabelinglatticelifecyclemagrittrmapsMASSMatrixpkgconfigplyrproxyR6RColorBrewerRcppreshape2rlangRtsneS7scalesscatterplot3dspamstatmodstringistringrTSPvctrsviridisLitewithr
