Class

A class specifically designed to contain results from end-point array digital PCR experiments. Data is represented as matrix, where each column describes different experiment. Type of data in all columns is specified in slot "type". Inherits from dpcr.

Details

For more in-depth explanation of digital PCR data structure, see dpcr.

Slots

col_names

"character" vector naming the columns in the array.

row_names

"character" vector naming the rows in the array.

panel_id

"factor" naming the panel to which experiment belong.

See also

Data management: adpcr2panel, bind_dpcr, extract_run.

Plotting: plot_panel.

Tests: test_panel.

Simulation: sim_adpcr.

Real-time array digital PCR: rtadpcr.

Droplet digital PCR: dpcr.

Examples

rand_array <- sim_adpcr(400, 1600, 100, pos_sums = FALSE, n_panels = 5)
#> The assumed volume of partitions in each run is equal to 1.
#> The assumed volume uncertainty in each run is equal to 0.
one_rand_array <- extract_run(rand_array, 1)
plot_panel(one_rand_array, 40, 40)