Package: popPCR 0.1.1.1
Joyce Emlyn Guiao
popPCR: Classify Digital PCR Droplets by Fitting Fluorescence Populations
Estimates DNA target concentration by classifying digital PCR (polymerase chain reaction) droplets as positive, negative, or rain, using Expectation-Maximization Clustering. The fitting is accomplished using the 'EMMIXskew' R package (v. 1.0.3) by Kui Wang, Angus Ng, and Geoff McLachlan (2018) as based on their paper "Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data" <doi:10.1109/DICTA.2009.88>.
Authors:
popPCR_0.1.1.1.tar.gz
popPCR_0.1.1.1.tar.gz(r-4.7-arm64)popPCR_0.1.1.1.tar.gz(r-4.7-x86_64)popPCR_0.1.1.1.tar.gz(r-4.6-arm64)popPCR_0.1.1.1.tar.gz(r-4.6-x86_64)
popPCR_0.1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
popPCR/json (API)
| # Install 'popPCR' in R: |
| install.packages('popPCR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- x_multiPop - DPCR sample w/ >=3 populations
- x_onePop - DPCR sample w/ 1 population
- x_twoPop - DPCR sample w/ 2 populations
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ce6087282b. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 107 | ||
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 161 | ||
| linux-release-arm64 | OK | 107 | ||
| linux-release-x86_64 | OK | 104 | ||
| wasm-release | OK | 84 |
Exports:calculateConcpopPCRprintSummaryConcprintSummaryFit
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Target copies estimation | calculateConc |
| EM Mixture Model fitting of dPCR droplet fluorescence | popPCR |
| Print result summary of popPCR | printSummaryConc |
| Print fitted mixture model estimates from popPCR | printSummaryFit |
| dPCR sample w/ >=3 populations | x_multiPop |
| dPCR sample w/ 1 population | x_onePop |
| dPCR sample w/ 2 populations | x_twoPop |
