67 research outputs found

    Characterizing genomic alterations in cancer by complementary functional associations.

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    Systematic efforts to sequence the cancer genome have identified large numbers of mutations and copy number alterations in human cancers. However, elucidating the functional consequences of these variants, and their interactions to drive or maintain oncogenic states, remains a challenge in cancer research. We developed REVEALER, a computational method that identifies combinations of mutually exclusive genomic alterations correlated with functional phenotypes, such as the activation or gene dependency of oncogenic pathways or sensitivity to a drug treatment. We used REVEALER to uncover complementary genomic alterations associated with the transcriptional activation of β-catenin and NRF2, MEK-inhibitor sensitivity, and KRAS dependency. REVEALER successfully identified both known and new associations, demonstrating the power of combining functional profiles with extensive characterization of genomic alterations in cancer genomes

    Impact of physical and virtual carrier sensing on the route discovery mechanism in noisy MANETs

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    In cellular consumer devices, one of the limiting factors for efficiency is that of overhead on the network layer that effects on the performance of the network. A substantial design issue is that, with cellular consumer devices, the discovery phase of the routing process, when attempting to establish a mobile ad hoc network, a high demand is placed on the network layer. Hence, a challenge for the designer is to reduce this demand, thus increasing overall device availability. Routing algorithms, and hence the performance of the networks are adversely affected by inefficient carrier sensing methods which can lead to increasing packet loss within the network environment. In this paper, the effect of physical and virtual carrier sensing on the route discovery mechanism has been identified and this paper suggests that choosing a suitable carrier sensing threshold in a high density and noisy mobile ad hoc network yields a better performance than if the default value is used
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