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All of the differently expressed genes were clustered by using MeV software.
Then, the resulting descriptors were clustered by kNN and k-means clustering methods to be employed for ANN modeling.
Steel frames fitted out with panel walls and ceilings, these homes were clustered by the hundreds into what was once a brand new commuter town.
The HMM states were clustered by a phonetic decision tree.
Articles were clustered by theme: depression as a risk factor, biobehavioral mechanisms, and treatment outcome studies.
The data were clustered by Ward's clustering with the Euclidean distance.
Bacterial communities were clustered by using PCoA of unweighted unifrac distance matrices (Fig. 2).
In the second step, based on the distance matrix, tube wells were clustered by "dissimilarity".
The bacterial communities at the five sites were clustered by genera data.
The Level 1 scaffolds for each dataset were clustered by their fingerprint similarity using the ECFP_6 fingerprints.
This dilemma was resolved when the subjects were clustered by clinical measures.
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