Your English writing platform
Discover LudwigExact(3)
The Neighbor-Net network clustered all isolates by group for groups B, C, and D. The only group for which genotypes were not consistently grouped together was group A, the ancestral genotype.
Since the goal of this section is comparing the performance of the network clustered by proposed dynamic method with the results of Section 5 which uses static clusters, the network architecture and system parameters are set with respect to Section 5.
By analyzing the 10 functional network clustered in the AIN, we found 25 mediator proteins in the network.
Similar(57)
The experimental results demonstrate that the proposed method is effective and promising for social network clustering.
Several network clustering algorithms generate hierarchical trees, but few make more than a single cut through the dendrogram.
Results: We present a fast local network clustering algorithm SPICi.
Potential network modules were identified with a "greedy" network clustering algorithm [ 23].
In this paper, the fuzzy clustering algorithm has been used in PPI network clustering.
Clusters were then generated by using the network clustering algorithm DPClusO.
Here, we develop a new efficient network clustering algorithm SPICi ('spicy', Speed and Performance In Cluster ing).
Clusters of highly interconnected proteins were identified by the MCODE plug-in network clustering algorithm [ 41].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com