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ICC is a coefficient that measures the degree of homogeneity among elements within clusters.
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The next step of the proposed method is the calculation of a correlation coefficient that measures the similarity between a given cell profile and a reference cell profile.
Our model contains a Hill coefficient that measures the co-operativity between two proteins (Her1, Her7) and three genes (her1, her7, deltaC) which they inhibit.
If no path exists between two nodes, d (v, i) gives the total number of nodes N. The transitivity centrality of a vertex v i is a local clustering coefficient that measures the proportion of edges of the direct neighbors of v i in a clique of k vertices where v j and all its direct neighbors are fully connected.
Theft frequencies and environmental abundances are compared using Kendall's τ, a generalized correlation coefficient that measures the similarity of ranked order lists.
Distance correlation is a new dependence coefficient that measures all types of dependence between random vectors X and Y in arbitrary dimension [63].
Distance correlation is a new dependence coefficient that measures all types of dependence between random vectors X and Y in arbitrary dimension [ 63].
The tree is based on a type of Bhattacharyya Coefficient that measures the similarity among subgroup probability distributions.
Based on the above findings, to further detect the association between functional and local topological organization of the network, we designed a new functional analysis, motivated by the concept of the clustering coefficient that measures a node's neighborhood density.
Nuclear/cytoplasmic histogram values were compared using a similarity score (a log-transformed Pearson's correlation coefficient that measures the degree to which two images are linearly correlated in the nuclear masked region).
The advantage of path analysis is that it permits the partitioning of the correlation coefficient into its components, one component being the path coefficient that measures the direct effect of a predictor variable upon its response variable; the second component being the indirect effect(s) of a predictor variable on the response variable through another predictor variable [26].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com