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>.
| Version: |
0.1.1.1 |
| Depends: |
graphics, stats, methods, grDevices, R (≥ 2.10) |
| Imports: |
mvtnorm |
| Published: |
2021-03-09 |
| DOI: |
10.32614/CRAN.package.popPCR |
| Author: |
Joyce Emlyn Guiao [aut, cre] |
| Maintainer: |
Joyce Emlyn Guiao <joyce_emlyn_guiao at dlsu.edu.ph> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
yes |
| Materials: |
README |
| In views: |
Omics |
| CRAN checks: |
popPCR results |
Documentation:
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