Package: HDStIM 1.0.0
HDStIM: High Dimensional Stimulation Immune Mapping ('HDStIM')
A method for identifying responses to experimental stimulation in mass or flow cytometry that uses high dimensional analysis of measured parameters and can be performed with an end-to-end unsupervised approach. In the context of in vitro stimulation assays where high-parameter cytometry was used to monitor intracellular response markers, using cell populations annotated either through automated clustering or manual gating for a combined set of stimulated and unstimulated samples, 'HDStIM' labels cells as responding or non-responding. The package also provides auxiliary functions to rank intracellular markers based on their contribution to identifying responses and generating diagnostic plots.
Authors:
HDStIM_1.0.0.tar.gz
HDStIM_1.0.0.zip(r-4.5)HDStIM_1.0.0.zip(r-4.4)HDStIM_1.0.0.zip(r-4.3)
HDStIM_1.0.0.tgz(r-4.4-any)HDStIM_1.0.0.tgz(r-4.3-any)
HDStIM_1.0.0.tar.gz(r-4.5-noble)HDStIM_1.0.0.tar.gz(r-4.4-noble)
HDStIM_1.0.0.tgz(r-4.4-emscripten)HDStIM_1.0.0.tgz(r-4.3-emscripten)
HDStIM.pdf |HDStIM.html✨
HDStIM/json (API)
# Install 'HDStIM' in R: |
install.packages('HDStIM', repos = c('https://niaid.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/niaid/hdstim/issues
- chi11 - Sample data set for CyTOF Stimulation Assay
complexheatmapassaycytofcytometrycytometry-analysis-pipelineflowcytometrystimulation
Last updated 1 years agofrom:b42e3d8387. Checks:OK: 6 ERROR: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | OK | Nov 11 2024 |
R-4.5-linux | OK | Nov 11 2024 |
R-4.4-win | OK | Nov 11 2024 |
R-4.4-mac | OK | Nov 11 2024 |
R-4.3-win | OK | Nov 11 2024 |
R-4.3-mac | ERROR | Nov 11 2024 |
Exports:HDStIMmarker_ranking_borutaplot_exprsplot_K_Fisherplot_marker_ranking_heatmapplot_umap
Dependencies:backportsBHBiocGenericsBorutabroomcirclizecliclueclustercodetoolscolorspaceComplexHeatmapcpp11crayondigestdoParalleldplyrdqrngfansifarverFNNforeachgenericsGetoptLongggplot2ggridgesGlobalOptionsgluegtableIRangesirlbaisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnlmepillarpkgconfigpngpurrrR6rangerRColorBrewerRcppRcppAnnoyRcppEigenRcppProgressrjsonrlangRSpectraS4Vectorsscalesshapesitmostringistringrtibbletidyrtidyselectutf8uwotvctrsviridisLitewithr