Sentence examples for distribution of drivers from inspiring English sources
We also analyzed the distribution of drivers by participants.
The distribution of drivers' total glance durations on the HMI showed that visual attention was shifted away from monitoring the central road scene towards looking at the in-vehicle display to a considerable extent.
No information was therefore available on the distribution of drivers in the non- participant group.
Next, evaluation of somatic sets related to cancer prognosis and treatment response prediction, and to genetic and genomic alterations (see Materials and Methods), revealed significant asymmetrical distribution of "driver kinases" [34], [35]; that is, kinases whose deregulation through frequent somatic mutation contributes to tumor development and/or progression ("driver mutations").
We therefore suggest that the frequency distribution of driver mutations and the distribution of resistant subclones within a heterogeneous cancer cell population could be used to instruct decisions of the time course of treatment levels, with the aims of curbing tumour growth, metastasis, and resistance.
The distribution of known drivers and rare drivers may correspond to the genetic heterogeneity of breast cancer subtypes.
Simulation in VISSIM focuses on random distributions of driver behavioral attributes such as aggressiveness and gap acceptance, and other parameters such as vehicle arrivals, vehicle speeds, vehicle type, and others [13].The most essential prerequisite to create a VISSIM roundabout model is to calibrate the model by adjusting VISSIM parameters and hence calibration part must be crucial [14].
Figure 3A and Figure 3 figure supplement 1A present the distributions of driver mutations for each scenario.
The last represents some idealistic functional impact (FI) scoring system in which the distributions of driver and passenger scores are well-separated (i.e. passenger mutations tend to have low functional impact and driver mutations always have high functional impact) and is designed to assess the upper bound for the amount of improvement than can be achieved by incorporating FI.
Unlike in GBM and OV, the distribution of rare drivers in BRCA seemed to spread out among different pathway with no major cancer pathway having more than two candidate rare drivers.
