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.
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.
Subsequently, normalize the weights of the particles with the sum of weights at each PE. .
How to figure out the maximum sum of weights without revealing each weight?
