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Over the past decade, many computational studies have explored the mechanics of normal indentation.
Such a relation has been used in many computational studies of translation initiation mechanism [ 41- 45].
Since then, many computational studies have been published with highly effective means of identifying cells with highly convergent output.
Many computational studies of bistable systems focused either on the network topology [ 17, 18] or on reaction kinetics [ 19, 21].
For many computational studies performed during the last decades, it is already impossible to find the exact models and methods that were used.
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Identification of genetic signatures is the main objective for many computational oncology studies.
The lack of experimental OR structural information has prompted many computational OR studies, several of which have been carried out on aldehyde-binding ORs.
However, many computational and experimental studies have addressed how miRNAs recognize and pair with their mRNA target sites [2], [4], [10], [12] [14], [24].
Many computational and experimental studies have also examined flexibility changes introduced by the G121V mutation.
A critical assumption of many of the computational studies is the free diffusion of complexes generated from the unattached kinetochore throughout the volume of the cell.
The host used in these studies, both experimental and computational, was the nematic mixture E7, as given in Figure 2, which has been the subject of many experimental and computational studies.
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