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Subsequent univariate ANOVAs indicated significant differences were observed between clusters for all variables making up the clusters (all P ≤.0001).
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Bangladesh shows much less variation between clusters for almost all practices and also has the highest coverage for many practices for all delivery types.
Figure 4 shows a heat map representation of the similarity between the clusters for all the datasets.
However, a bottom-up model describing the activities and interactions of the yeast Cdc42, Cdc24, Bem1, and GDI proteins displays competition between polarity clusters for all parameters examined thus far (Goryachev and Pokhilko, 2008; Howell et al., 2012; Howell et al., 2009; Savage et al., 2012).
One-way ANOVAs revealed a reliable ablation effect between the three clusters for all dependent variables in pallium and VZ/SVZ (F = 10.19 69.66; df = 2,34; Pα<0.01).
However, the number of direct links (d i, j =1) is contrasting between the eQTL hotspots and random clusters for all trans-bands (the respective scores are more than 1).
Each black solid thick line denotes a link between users who belong to the same clusters for all services.
Other colored lines denote the links between users who belong to the same clusters for all but one service: web (dashed thick blue), app (dotted thin red), email (dotted thick green), call (solid thick cyan), SMS (dashed thin violet), or due to the unused service by either user (solid thin gray).
To this end, we averaged all gene ratios within each cluster for all states (excluding state 7) and compared ratios between clusters.
Here, the optimal number of modifications for a fixed clustering can also be calculated in linear time: all edges in the independent set are deleted, all edges between clusters are deleted, and all missing edges within clusters are added.
Welch's two sample tests confirmed the statistical significance of the difference between cluster-target and general scores for all clusters, with a confidence of approximately 100% (Additional file 10).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com