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The idea of fingerprinting drivers from timestamped sensor data, e.g., controller area network (CAN) protocol records, is not new; many recent studies have shown that identifying a driver using machine learning-based classification is a promising field of research.
The relative frequency of a particular mutation within a gene is typically used as a criterion for identifying a driver mutation.
In particular the following iterative procedure identifies all driver pathways using our algorithms: after identifying a driver pathway, remove its genes from the mutation matrix, and look for driver pathways in the reduced mutation matrix.
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She can identify a driver by the sight of his bus two blocks away.
That technology suggests it is possible to identify a driver and apply the technology more broadly — to, say, social media — but Ms. Crummey said Verizon didn't have the same kind of control over Facebook, Twitter or other functions.
After two hours, he's identified a driver and a 3-wood that fly 20 yards farther and irons that fly 10 yards farther.
In contrast with non-directional associations such as coexpression, statistical epistasis, or synthetic lethality, a directional influence identifies a driver mutation that affects the activity of its target, a second gene that, in turn, affects the phenotype.
This paper provides empirical evidence on the changing structure of world oil price system by identifying an additional driver-emerging market factor.
The situation was worse for ORS 1 and ORS 2. One explanation is that it might be easier to identify an alert driver than a sleepy driver.
These methodological advances contributed to identifying a different set of driver genes when compared with those identified by Ding et al. (2008).
Therefore, potential dangers that could be identified by a driver who is aware of his activity can be identified by a system based on the techniques described in this paper.
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