Package: PERCEPTIONx
Title: Personalized Drug Response Prediction from Single-Cell
        Transcriptomics
Version: 0.3.0
Authors@R: 
    person("Jia", "Ding", , "jiading682@qq.com", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0002-2530-0897"))
Description: An R implementation of the PERCEPTION approach (Sinha et
        al., 2024) for predicting personalized drug response from
        single-cell tumor transcriptomics. It trains drug-response
        models on large-scale cell-line screens, predicts sensitivity
        at clone and patient level, and ships an interactive
        visualization suite plus a Shiny web application.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Roxygen: list(markdown = TRUE)
RoxygenNote: 8.0.0
VignetteBuilder: knitr
Imports: ggplot2, gridExtra, glmnet, caret, randomForest, pROC, rlang,
        Seurat, uwot, shiny, ggiraph, parallel
URL: https://wanglabcsu.github.io/PERCEPTIONx,
        https://github.com/WangLabCSU/PERCEPTIONx
BugReports: https://github.com/WangLabCSU/PERCEPTIONx/issues
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggpubr, bslib, DT,
        plotly, waiter, thematic, readxl, callr
Config/testthat/edition: 3
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://wanglabcsu.r-universe.dev
Date/Publication: 2026-09-19 09:52:18 UTC
RemoteUrl: https://github.com/WangLabCSU/PERCEPTIONx
RemoteRef: HEAD
RemoteSha: 15fbc84a04c95a1306a938ada96c02e16de98d54
NeedsCompilation: no
Packaged: 2026-09-19 11:24:48 UTC; root
Author: Jia Ding [aut, cre] (ORCID: <https://orcid.org/0009-0002-2530-0897>)
Maintainer: Jia Ding <jiading682@qq.com>