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Finally, a case study based on the Civil Aeronautics Board (CAB) data set is conducted to demonstrate the effectiveness of the proposed model and solution approach.
Secondly an evaluation of the performance and accuracy of parallelised clustering algorithms for analysing a distributed data set is conducted using a real-world technical support dataset.
Functional analysis for each data set is conducted via PANOGA Functional Enrichment tool [ 48].
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Study Design: A secondary analysis of a Wyoming high-risk youth data set was conducted (N = 1632).
Phylogenetic analyses of the planthopper host data set were conducted using ML and BI methods.
Statistical analyses of the entire data set were conducted at the CoCH.
Further cleaning of the data set was conducted to remove duplication events that could bias the results.
ML analyses with the amino acid data set were conducted using PUZZLE 5.2 [ 29] with the mtREV24 substitution matrix and amino acid frequency estimated from the data set.
The ML analyses with the nucleotide data set were conducted with PAUP*4.0b10 by a heuristic search with TBR branch swapping with 10 random taxon additions.
The PMF and CMB-LGO analyses on the current data set were conducted, independent of each other, by researchers from Clarkson University and the Georgia Institute of Technology, respectively.
The 100 replicate runs of the nonbootstrapped data set were conducted to identify the most probable phylogeny based on our observed SNP matrix.
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