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While epistatic genetic interactions may easily end up being averaged out in statistical association models, machine learning-based predictive modeling can also take into account those individual effects that are dependent on interactions with other variants or environmental exposures, making these models convenient for developing predictive strategies for multi-factorial diseases.
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In particular, the Platform-as-a-Service (PaaS) segment of cloud computing has been steadily growing over the past several years, with more and more software developers choosing cloud application platforms as convenient ecosystems for developing, deploying, testing and maintaining their software.
Despite applying several methodologies to achieve self-compacting requirements, some doubts still remain regarding the most convenient strategy for developing a HPFRC.
It has shown in [48 53] that the Wiener-Hopf equations provide us a simple, elegant and convenient device for developing some efficient numerical methods for solving variational inequalities and complementarity problems.
Safety analysis of the reactor facility in the process of design requires the use of not only simulation codes for analyzing processes of different nature but, as well, the use of convenient tools for developing mathematical models of process systems.
This study also exemplifies a convenient method for developing versions of the CSQ-8 in more than one language.
In view of this, with revolutionary calculations, the adoption of BT has been concluded to be the most convenient approach for developing countries [ 15].
In view of these revolutionary calculations, the adoption of BT becomes the most convenient approach for developing countries as has been concluded [ 19].
Manipulating the sub-units of conjugated co-polymers was a convenient and promising strategy for developing novel functional materials.
This paper is constructed to choose a convenient turbine from various perspectives for developing a wind energy station.
Cloud computing offers users a convenient scalable and flexible scenario for developing, running, and testing different applications in a pay-as-you-go model.
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