Package: CyTOFpower 1.11.0

Anne-Maud Ferreira

CyTOFpower: Power analysis for CyTOF experiments

This package is a tool to predict the power of CyTOF experiments in the context of differential state analyses. The package provides a shiny app with two options to predict the power of an experiment: i. generation of in-sicilico CyTOF data, using users input ii. browsing in a grid of parameters for which the power was already precomputed.

Authors:Anne-Maud Ferreira [cre, aut], Catherine Blish [aut], Susan Holmes [aut]

CyTOFpower_1.11.0.tar.gz
CyTOFpower_1.11.0.zip(r-4.5)CyTOFpower_1.11.0.zip(r-4.4)CyTOFpower_1.11.0.zip(r-4.3)
CyTOFpower_1.11.0.tgz(r-4.4-any)CyTOFpower_1.11.0.tgz(r-4.3-any)
CyTOFpower_1.11.0.tar.gz(r-4.5-noble)CyTOFpower_1.11.0.tar.gz(r-4.4-noble)
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CyTOFpower.pdf |CyTOFpower.html✨
CyTOFpower/json (API)
NEWS

# Install 'CyTOFpower' in R:

install.packages('CyTOFpower', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

On BioConductor:CyTOFpower-1.11.0(bioc 3.20)CyTOFpower-1.10.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

1 exports 0.49 score 221 dependencies

Last updated 2 months agofrom:7888deca7c

Exports:CyTOFpower

Dependencies:abind ALL askpass backports base64enc BH bigmemory bigmemory.sri Biobase BiocGenerics BiocParallel boot broom bslib cachem car carData caret circlize class cli clock clue cluster codetools colorRamps colorspace commonmark ComplexHeatmap ConsensusClusterPlus corrplot cowplot cpp11 crayon crosstalk curl CytoGLMM cytolib data.table DelayedArray dendextend Deriv diagram diffcyt digest doBy doParallel dplyr DT e1071 edgeR ellipse emmeans estimability evaluate factoextra FactoMineR fansi farver fastmap flashClust flexmix flowCore FlowSOM fontawesome foreach formatR fs futile.logger futile.options future future.apply generics GenomeInfoDb GenomeInfoDbData GenomicRanges GetoptLong ggforce ggnewscale ggplot2 ggpubr ggrepel ggsci ggsignif GlobalOptions globals glue gower gridExtra gtable hardhat highr htmltools htmlwidgets httpuv httr igraph ipred IRanges isoband iterators jquerylib jsonlite KernSmooth knitr labeling lambda.r later lattice lava lazyeval leaps lifecycle limma listenv lme4 locfit logging lubridate magrittr MASS Matrix MatrixGenerics MatrixModels matrixStats mbest memoise mgcv microbenchmark mime minqa ModelMetrics modelr modeltools multcomp multcompView munsell mvtnorm nlme nloptr nnet numDeriv openssl parallelly pbkrtest pheatmap pillar pkgconfig plyr png polyclip polynom pROC prodlim progressr promises proxy purrr quantreg R6 rappdirs RColorBrewer Rcpp RcppEigen recipes reshape2 Rhdf5lib rjson rlang rmarkdown rpart RProtoBufLib rstatix Rtsne S4Arrays S4Vectors sandwich sass scales scatterplot3d shape shiny shinyFeedback shinyjs shinyMatrix snow sourcetools SparseArray SparseM SQUAREM statmod stringi stringr strucchange SummarizedExperiment survival sys systemfonts TH.data tibble tidyr tidyselect timechange timeDate tinytex tweenr tzdb UCSC.utils utf8 uuid vctrs viridis viridisLite withr xfun XML xtable XVector yaml zlibbioc zoo

Power analysis for CyTOF experiments

Anne-Maud Ferreira

Rendered fromCyTOFpower.Rmdusingknitr::rmarkdownon Jul 06 2024.

Last update: 2021-10-18
Started: 2021-09-24

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CyTOFpower: R-package to predict the power of a CyTOF experiment	CyTOFpower