Package: PoweREST 0.1.0
Lan Shui
PoweREST: A Bootstrap-Based Power Estimation Tool for Spatial Transcriptomics
Power estimation and sample size calculation for 10X Visium Spatial Transcriptomics data to detect differential expressed genes between two conditions based on bootstrap resampling. See Shui et al. (2024) <doi:10.1101/2024.08.30.610564> for method details.
Authors:
PoweREST_0.1.0.tar.gz
PoweREST_0.1.0.tar.gz(r-4.5-noble)PoweREST_0.1.0.tar.gz(r-4.4-noble)
PoweREST_0.1.0.tgz(r-4.4-emscripten)
PoweREST.pdf |PoweREST.html✨
PoweREST/json (API)
# Install 'PoweREST' in R: |
install.packages('PoweREST', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- power_example - An example of power results with multiple replicates number
- result_example - An example of power results from PoweREST
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:2ca025e0cf. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 09 2024 |
R-4.5-linux | OK | Dec 09 2024 |
Exports:%>%fit_powerestfit_XGBoostplotly_powerestPoweRESTPoweREST_genePoweREST_subsetpred_powerestpred_XGBoostvis_powerestvis_XGBoost
Dependencies:abindaskpassbase64encBHbitopsbslibcachemcaToolscliclustercodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tabledecidodeldirdigestdoParalleldotCall64dplyrdqrngevaluatefansifarverfastDummiesfastmapfitdistrplusFNNfontawesomeforeachfsfuturefuture.applygenericsggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhmshtmltoolshtmlwidgetshttpuvhttricaigraphirlbaisobanditeratorsjpegjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleidenlifecyclelistenvlmtestmagrittrMASSMatrixmatrixStatsmemoisemgcvmimeminiUImunsellnlmeopensslparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclipprettyunitsprogressprogressrpromisespurrrR6RANNrappdirsrasterrayimagerayrenderrayshaderrayvertexRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppThreadRcppTOMLresamplereshape2reticulaterglrlangrmarkdownROCRrprojrootRSpectraRtsnesassscalesscamscattermoresctransformSeuratSeuratObjectshinysitmosourcetoolsspspacefillrspamspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsystensorterraterrainmeshrtibbletidyrtidyselecttifftinytexutf8uwotvctrsviridisLitewithrxfunxgboostxtableyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fit the power surface | fit_powerest |
Fit with XGBoost | fit_XGBoost |
3D interactive visualization | plotly_powerest |
An example of power results with multiple replicates number | power_example |
Bootstrap resampling and power calculation upon ST data | PoweREST |
Bootstrap resampling and power estimation for one single gene | PoweREST_gene |
Bootstrap resampling and power calculation for a subset of genes | PoweREST_subset |
Power value prediction | pred_powerest |
Prediction results from XGBoost | pred_XGBoost |
An example of power results from PoweREST | result_example |
Visualization of the power surface | vis_powerest |
Visualization of the power estimations from XGBoost | vis_XGBoost |