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Therapeutics designed to take advantage of this approach require at least two functionalities, one that facilitates transport and the other to provide therapeutic benefit, and bispecific antibodies are ideally suited for this task.
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But many managers struggle with it not because the mechanics are hard, but because the approach requires at least three fundamental shifts in mind-set.
One caveat is that a gene-wide approach requires at least some of the true association signals to be located within the (arbitrarily) derived boundaries of genes.
However, such an approach requires at least two-steps and does not embed the desired properties as part of the structure itself or create multiple levels of topographical structure.
On the other hand, ITER adopts a complex algorithmic approach requiring, at each iteration, the (computationally expensive) evaluation of Coulombic contributions among the polarization charges induced at the discretization tiles [13, 17].
However, the PBNA approach requires at least one of the networks participating in alignment be determined diagram.
The CT approach required at least five data points in each leaf of the tree and for each split.
In contrast, our approach required at least one order of magnitude lesser DNA (~50 ng) of starting material, had similar performance to commercial ELISA-based assay and required approximately 2 h to complete.
In [18], the authors propose a method for automatic head pose estimation using three features (the eyes and nose locations) ruled by the concept of golden ratio, whereas the majority of geometric approaches require at least five features.
Specifically, for SNR = 5 dB, our proposed scheme yields a little bit more than 8 visited nodes for a 4×4 system with 16QAM (Figure 4) and 64QAM (Figure 5) and a little more than 12 visited nodes for 6×6 16QAM (Figure 6) and 64QAM (Figure 7), whereas other approaches require at least 25 visited nodes or even higher.
However, since these approaches require at least two alleles for comparison within a population, they are not applicable to already fixed loci, which are most likely to be under strong positive selection.
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