Automated Analysis of Multiplex Digital PCR Data
Test eps and minPts combinations for DBSCAN analysis
Export dPCP analysis results to a csv file
Manual correction of dPCP cluster analysis
Prediction of clusters centroid position
Cluster analysis with fuzzy c-means algorithm
Automated analysis of digital PCR data
Identification and clustering of "rain" data
Find the empty partitions and single target clusters in the reference ...
Read reference files
Read sample files
Read sample table
Calculation of targets concentration, pooling the sample replicates
Export dPCP analysis results to a pdf report
Calculation of targets concentration.
The automated clustering and quantification of the digital PCR data is based on the combination of 'DBSCAN' (Hahsler et al. (2019) <doi:10.18637/jss.v091.i01>) and 'c-means' (Bezdek et al. (1981) <doi:10.1007/978-1-4757-0450-1>) algorithms. The analysis is independent of multiplexing geometry, dPCR system, and input amount. The details about input data and parameters are available in the vignette.