Table 1.

Summary of hierarchical clustering analysis results before and after data filtering.

Sample Set	Percentage of Correct Triplicate Clusters Before & After Filtering Analysis (Before, After)	Average Dissimilarity Score* Before & After Filtering Analysis (Before, After)
Three pool set, 0.1 mg mL−1	100%, 100%	5.23 × 109, 3.23 × 109
Three pool set, 0.01 mg mL−1	33%, 100%	6.17 × 109, 8.62 × 108
Five pool set, 0.1 mg mL−1	60%, 100%	6.18 × 109, 2.34 × 109
Five pool set, 0.01 mg mL−1	20%, 100%	5.71 × 109, 4.54× 108
Ten pool set, 0.1 mg mL−1	40%, 100%	3.05 × 109, 1.36 × 109
Ten pool set, 0.01 mg mL−1	0%, 100%	8.13 × 109, 3.72 × 108

^*Average dissimilarity scores were computed in Sirius 10.0 [28–29] and represent n-dimensional Euclidean distance values.