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Yet, they do not simultaneously accommodate for both isolation and replication.
We shown that our metrics permits to simultaneously account for both isolation and replication strategies, and remains computable on a reasonable amount of time.
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Isolation and replication are two common strategies to improve robustness.
Existing graph-theory metrics such as density, average node degree, distance or betweenness, fail to capture trade-offs between isolation and replication.
Finally, the way the application components are deployed on the platform, and the way the platform is deployed on the infrastructure reflect the use of isolation and replication, and in turn, affect the eventual robustness.
Getting insight about the benefits of such strategies is possible in early stages of development, but requires indicators that go beyond the mere structure of the graph and finely account for isolation and replication.
The costs of both isolation and gentrification become evident.
Both isolation and novel stimulus tests produced valid measurements.
Detection of CTCs and DTCs consists of strategies including both isolation and identification.
40345_2017_101_MOESM1_ESM.docx Additional file 1. Detailed prediction results in both discovery and replication cohorts.
Both structural and replication genes are not clustered in CP21.
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