Package: StatescopeR 1.1.3
StatescopeR: StatescopeR framework for discovery of cell states from cell type-specific gene expression profiles inferred from bulk mRNA profiles
StatescopeR is an R wrapper around Statescope, a computational framework designed to discover cell states from cell type-specific gene expression profiles inferred from bulk RNA profiles.
Authors:
StatescopeR_1.1.3.tar.gz
StatescopeR_1.1.3.zip(r-4.7-any)StatescopeR_1.1.3.zip(r-4.6-any)StatescopeR_1.1.3.zip(r-4.5-any)
StatescopeR_1.1.3.tgz(r-4.6-any)StatescopeR_1.1.3.tgz(r-4.5-any)
StatescopeR_1.1.3.tar.gz(r-4.7-any)StatescopeR_1.1.3.tar.gz(r-4.6-any)
StatescopeR_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
StatescopeR/json (API)
| # Install 'StatescopeR' in R: |
| install.packages('StatescopeR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tgac-vumc/statescoper/issues
On BioConductor:StatescopeR-1.1.2(bioc 3.24)StatescopeR-1.0.2(bioc 3.23)
geneexpressionrnaseqsinglecellbayesiantranscriptomicssoftware
Last updated from:0535cf1c7c. Checks:6 WARNING, 3 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 166 | ||
| linux-devel | ERROR | 1282 | ||
| source / vignettes | ERROR | 1003 | ||
| linux-release | ERROR | 1411 | ||
| macos-release | WARNING | 977 | ||
| macos-oldrel | WARNING | 1134 | ||
| windows-devel | WARNING | 2437 | ||
| windows-release | WARNING | 1591 | ||
| windows-oldrel | WARNING | 2400 | ||
| wasm-release | OK | 173 |
Exports:barplot_stateloadingsBLADE_deconvolutionconcatenate_statescorescreate_signatureEcotypeDiscoveryEcotypeRetrievalfetch_signaturefraction_evalfraction_heatmapgather_true_fractionsRefinementselect_genesStateDiscoveryStateRetrieval
Dependencies:abindassortheadbasiliskbeachmatBiobaseBiocGenericsbiocmakeBiocNeighborscirclizecliclueclustercodetoolscolorspaceComplexHeatmapcowplotcpp11crayonDelayedArraydigestdir.expirydoParallelfarverfilelockforeachgenericsGenomicRangesGetoptLongggplot2GlobalOptionsgluegtablehereIRangesisobanditeratorsjsonlitelabelinglatticelifecycleMatrixMatrixGenericsmatrixStatspngR6rappdirsRColorBrewerRcppRcppTOMLreticulateRigraphlibrjsonrlangrprojrootS4ArraysS4VectorsS7scalesscrapperSeqinfoshapeSingleCellExperimentSparseArraySummarizedExperimentvctrsviridisLitewithrXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create a barplot of top stateloadings | barplot_stateloadings |
| Run BLADE deconvolution | BLADE_deconvolution |
| Concatenate statescore lists into one data frame | concatenate_statescores |
| Create scRNAseq Signature | create_signature |
| Run EcotypeDiscovery | EcotypeDiscovery |
| Run EcotypeRetrieval | EcotypeRetrieval |
| Fetch scRNAseq Signature | fetch_signature |
| Create a barplot of TRUE vs estimated cfs | fraction_eval |
| Create a heatmap of the estimated fractions | fraction_heatmap |
| Gather true fractions | gather_true_fractions |
| Run Refinement | Refinement |
| Select genes using AutoGeneS | select_genes |
| Run StateDiscovery | StateDiscovery |
| Run StateRetrieval | StateRetrieval |
| Python environments | statescope |
