Package: infinityFlow 1.17.0
Etienne Becht
infinityFlow: Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions
Pipeline to analyze and merge data files produced by BioLegend's LEGENDScreen or BD Human Cell Surface Marker Screening Panel (BD Lyoplates).
Authors:
infinityFlow_1.17.0.tar.gz
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infinityFlow_1.17.0.tgz(r-4.4-any)infinityFlow_1.17.0.tgz(r-4.3-any)
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infinityFlow.pdf |infinityFlow.html✨
infinityFlow/json (API)
# Install 'infinityFlow' in R: |
install.packages('infinityFlow', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- steady_state_lung - Subset of a massively parallel cytometry experiment of mouse lung single cells
- steady_state_lung_annotation - Target and isotypes annotation for the data object infinityFlow::steady_state_lnug
- steady_state_lung_backbone_specification - Backbone and Infinity antibodies specification for the data object infinityFlow::steady_state_lnug
On BioConductor:infinityFlow-1.15.0(bioc 3.20)infinityFlow-1.14.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
softwareflowcytometrycellbasedassayssinglecellproteomics
Last updated 23 days agofrom:ac4a2be88b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | OK | Oct 30 2024 |
R-4.5-linux | OK | Oct 30 2024 |
R-4.4-win | OK | Oct 30 2024 |
R-4.4-mac | OK | Oct 30 2024 |
R-4.3-win | OK | Oct 30 2024 |
R-4.3-mac | OK | Oct 30 2024 |
Exports:fitter_glmnetfitter_linearfitter_nnfitter_svmfitter_xgboostinfinity_flowselect_backbone_and_exploratory_markers
Dependencies:BHBiobaseBiocGenericscpp11cytolibdata.tabledqrngflowCoreFNNgenericsgtoolsirlbajsonlitelatticematlabMatrixmatrixStatspbapplypngrasterRcppRcppAnnoyRcppEigenRcppProgressRhdf5libRProtoBufLibRSpectraS4Vectorssitmospterrauwotxgboost
Basic usage of the infinityFlow package
Rendered frombasic_usage.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2021-10-10
Started: 2020-06-19
Training non default regression models
Rendered fromtraining_non_default_regression_models.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2021-05-05
Started: 2020-06-25