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The calculation of the weighted degree distribution (the distribution of the sums of weights
For m > 100, SaddleSum gives more conservative P-values for terms with large sums of weights (Supplementary Figs S1 and S2).
According to the partition function model, this probability equals to the sum of weights of foldings of s which contain a b, divided by Z. Therefore, there is a need to compute values that correspond to sums of weights of foldings which contain specific base-pairs.
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Summary: CytoSaddleSum provides Cytoscape users with access to the functionality of SaddleSum, a functional enrichment tool based on sum-of-weight scores.
Similar to SaddleSum, t-test approaches are based on sum-of-weights score, but use the Student's t-distribution to infer P-values.
In fact it's become common to see celebrities like John Goodman or reality show contestants in the position of needing to lose extraordinary sums of weight.
Thus, each node n in the network is ranked according to its first-degree edges en1 (weighted out-degree, sum of weights for directed edges from the considered node) and second-degree edges en2 (weighted out-degree, sum of weights for directed edges from the first degree nodes with respect to n).
The weighted degree wd represents the sum of weights for edges connected to a node.
The weighted misclassification rate then becomes the sum of weights of the data that are from positive training set but decided to belong to a negative group.
The weighted degree centrality (WDC) of a given protein in a weighted network is defined as the sum of weights of edges connecting the given node and its neighbors.
where the sum of weights w t ( i ) is 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com