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The clustering procedure is based on two unsupervised methods.
For each gene, the TMM normalized gene counts where linearly scaled to a 0 1 range to minimize the effect of outlier measurements in the clustering procedure.
This two-step clustering procedure was then implemented for F (Supplementary Figs. 4b,d), with the resultant anlaysis regions for fall shaded in Fig. 1d.
In the clustering procedure, we introduced a parameter called "Distance"; Distance indicates the number of bases which differ between two given barcode sequences.
The suggested clustering procedure is theoretically illustrated and its effectiveness has been investigated experimentally.
Listing 2 shows a pseudocode for the clustering procedure.
After the iterative clustering procedure finished, cluster merging was performed.
We show via a simulation study that the simple clustering procedure provides a reasonably improved estimator.
The clustering procedure generated two very convincing groups from the data.
The following assumptions are taken into consideration before clustering procedure takes place.
In the following step they are grouped with a hierarchical clustering procedure.
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