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Figure 1 illustrates the difference between different types of distances on two selected pairs of human kinases Proteins.
There are different ways to implement such inference of gene flow, mostly based on different types of distances [13, 18, 20].
We assess the efficiency of the different types of distances to delineate pertinent biological groups in a data set of 212 human protein kinases.
We then use a small data set of well characterized kinases and compare different types of distances (alignment-based and alignment-free) both on full-length sequences and catalytic domains.
By doing so, we found that both profiles of response can occur at different stages of a single journey and that different types of distances can be represented in different time windows.
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Another comparison is presented by Carolan et al. [55] who compare two different types of distance, namely the spatial travel distance and the travel time taken to link two cities.
Therefore, in the routing process, four different types of distance calculation scenarios may exist: When j≤n, "path" from i to j is in the first graph, so selected nodes in this long path are in one candidate path.
Many algorithms to identify differential gene expression and to group similarities together have been established, using different types of distance measures, statistics and cluster methods [ 35].
Different types of geographic distances predictive of archaeobotanical and genetic measures can be derived directly from our landscape model.
Trees based on different types of genome distance have been popularized in the study of archaic humans as a way to determine their genetic similarity to different hominins [ 66, 67].
Thus, this paper will compare different types of visual (distance dependent) and non-visual (touch, angle configuration) rewards showing that, with this combination of methods, it is generically possible to find a good solution within about 20 trials.
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