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The 15 × 15 similarity matrix (based on Band coefficient) was subjected to sequential agglomerative hierarchical nested (SAHN) clustering using UPGMA (unweighted pair-group method analysis).
Distance based on Band coefficient is similar to the genetic distance (GD) formula by Nei and Li [ 71]: GD = 1 - Sxy.
Pair-wise genetic distances were calculated with NTSYS-pc software version 2.0 [ 69] as Sxy = 1 - (2nxy/nx + ny) as Sxy = 1 - (2nxy/nx + ny) based on band coefficient [ 70], where nxy are shared bands amongst the individuals, nx and ny are the number of fragments exhibited by each individual.
Similar(57)
Analysis was based on band position and derived by the Dice coefficient with a maximum position tolerance of 1%.
Similarities between the profiles based on band positions were derived by using the Dice correlation coefficient with maximium position tolerance of 1% and 0.2% optimisation and dendrograms were constructed by the unweighted pair group method (UPGMA).
The similarity coefficient (SAB) of sample pairs was calculated based on band positions by using DICE metric [ 14, 15].
The electrophoretic patterns from PFGE were compared based on band position using FingerPrinting II software (Bio-Rad Laboratories, HerCAles, CA, USA) and derived using the Dice coefficient with a maximum position tolerance of 1%.
Cluster analysis was performed using similarity coefficient based on bands that showed differences among isolates.
Correlation between serum and SF cathepsin bands were based on Pearson coefficient test (Pc; 1 ≥ p ≥ −1), considering Pc ≤0.05 to be statistically significant.
The images of the multi-temporal Landsat TM/ETM+ data in 1998 and 2002 are used to select the best band combinations to interpret images based on the correlation coefficient of bands and Optimum Index Factor (OIF).
Pulsed-field gel electrophoresis (PFGE) clusters were identified on an UPGMA (unweighted pair-group method with arithmetic mean) dendrogram based on Dice coefficients, where optimization and band position tolerance were set at 1% and 2%, respectively.
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