In CRUKMI-ComputationalBiology/twoddpcr: Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules

This document is a short report generated by the twoddpcr Shiny app.

Plate name: r params$plateName

Classification method: r params$longMode

Rain type: r params$rainType

Classification plots

The combined wells in the r params$plateName plate classify as follows:

dropletPlot(params$plate, cMethod=params$cMethod)

The individual wells can be seen as:

lapply(params$plate, dropletPlot, cMethod=params$cMethod)

Summary

From the above classifications, the number of positive droplets and estimated number of starting molecules is summarised below.

knitr::kable(params$summaryTable)

CRUKMI-ComputationalBiology/twoddpcr documentation built on Feb. 14, 2021, 9:18 p.m.