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Besides, different from simulation or Bayesian approaches, our methodology can quickly provide evolution graphs (paths), the evolution time and the corresponding probability given a primary scenario.
Many themes can be active at an interval of time, and a theme evolution graphs has been represented with arcs connecting a theme to another across the time intervals [82].
As outcome, different types of results are generated: dissatisfaction rankings, SatiX/attributes/metrics maps at cell and administrative area level, temporal evolution graphs showing how satisfaction, or metrics evolved after a certain update in the network, etc.
Mass evolution graphs [9] of calling behavior by each bird confirm earlier anecdotal observations [10] that zebra finches nearly continually produce these short-range signals during the day (Figure 1B).
DOI: http://dx.doi.org/10.7554/eLife.09207.007 10.7554/eLiFigure07.008 Figure 1 figure supplement 5. Evolution graphs built from prostate cancer sequencing data.
Core- and pan-genome size evolution graphs were generated by calculating the median core- and pan-genome size for each number of combinations in the given species set.
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edges of an evolution graph.
The cluster evolution graph ({mathcal {G}}) is learned over each bootstrap sample.
It builds a cluster evolution graph that captures the transitions of patient clusters before (PRE) to after treatment (POST).
In this study, a methodology involving a Domino Evolution Graph (DEG) model and a Minimum Evolution Time (MET) algorithm is proposed to model the spatial-temporal evolution of domino accidents.
Once the cluster evolution graph has been constructed, our methods EvolutionPred and EvoLabelPred use the clusters and their transitions to project each patient to a future moment, and predict their recovery label, respectively.
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