Main features

Identification and statistical analysis of systematic signal variability at HTS assays
Visualisation of HTS assays
Partitioning of the initial assay using the k-means algorithm
Evaluation of the background surface that reflects the impact of systematic errors on experimental data
Trend-surface analysis of the evaluated background
Automatic correction of experimental datasets
Hit selection using different methods
Chi-square analysis of hit distribution