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E. Result and analysis for clustering approach: .
Clustering approach was used to group the node into clusters.
Clustering at the group level forms the core of our group clustering approach.
This indicates that our group clustering approach is robust for different settings of the cluster parameters.
The k-means clustering approach using Lloyd's algorithm delivers k centroids for a given data set.
This might indicate that our clustering approach successfully recognizes structural similarities amongst the pathogen-associated proteins.
Approximate gene families were constructed using a single linkage clustering approach implemented in Perl.
These signatures were designed using a minimal set clustering approach [ 14].
The database subsequence clustering approach was developed for efficient homology sequence searches.
For the phylogenetic classification, we performed a sequence-similarity-based (BLAST p-values) clustering approach [ 73].
Fig. 3 Distance-based clustering approach.
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