vignettes/Visualise IC50Normalisation with Clustering.Rmd allows visualisation of k-clustering to normalise for IC50. The ggplot comprises the clusters generated for the positive and negative controls as well as the three maximum and three minimum values for the sample columns. The geom_hline() represents the mean of the control cluster in the positive and negative controls that is closest to the average of the max and min sample values, respectively. Compared to simple means, the mean of the select control cluster is closer to the average max and min values of the sample data.
vignettes/Visualise IC50Normalisation with Clustering.Rmd allows visualisation of k-clustering to normalise for IC50. The ggplot comprises the clusters generated for the positive and negative controls as well as the three maximum and three minimum values for the sample columns. The geom_hline() represents the mean of the control cluster in the positive and negative controls that is closest to the average of the max and min sample values, respectively. Compared to simple means, the mean of the select control cluster is closer to the average max and min values of the sample data.