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-4.5-noble)popPCR_0.1.1.1.tar.gz(r-4.4-noble)
popPCR_0.1.1.1.tgz(r-4.4-emscripten)popPCR_0.1.1.1.tgz(r-4.3-emscripten)
popPCR.pdf |popPCR.html✨
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 4 years agofrom:ce6087282b. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 22 2024 |
| R-4.5-linux-x86_64 | OK | Dec 22 2024 |
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 |
