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Forman et al. (1998) described different aggregation methods for group decisions with the AHP method: aggregating individual judgments (AIJ) and aggregating individual priorities (AIP) by arithmetic mean or geometric mean [21].
This was explicitly tested by plotting the proportion of embedded quartets in agreement, against the proportion in disagreement with the groups inferred from the phenotypic data (Figure S2; see methods for group demarcation; [46]).
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In current robotics research there is a vast body of work on algorithms and control methods for groups of decentralized cooperating robots, called a swarm or collective.
The relationship and Bland-Altman plot in CBF, OEF, and CMRO2 between the emission- and transmission-based methods for Group-0, Group-1, and Group-2 are shown in Figures 2, 3, and 4. The regression analysis showed close correlations, with correlation coefficients of 0.89 to 0.99.
The term Cluster Analysis encompasses a number of different algorithms and methods for grouping objects of similar kind into respective categories.
HCA is the general designation of methods for grouping samples characterized by data vectors or matrices, eventually forming clusters.
With the benefit of published phage display derived PWMs for the five test mutant PDZ domains (Figure 2), we were able to assess our particular combination of the two methods for groups of columns in ligand binding sites.
Many existing methods for group-wise tests require specific assumptions about the direction of individual SNP effects and/or perform poorly in the presence of interactions.
In contrast, there have been much less studies on methods for grouping DMCs into DMRs.
For each probe we determined the percent of samples found positive based on our criteria (see methods) for groups of cancer and CIN2/3 cases (see Table 1).
Analysis included inductive qualitative methods for grouping of data and quantitative cluster identification to produce visual maps which were then interpreted by participants.
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